Industrial Engineering and Management

Journal Name	Impact Factor	CiteScore	Launched Year	First Decision (median)	APC
Applied Sciences applsci	2.7	4.5	2011	15.8 Days	CHF 2300
Sustainability sustainability	3.9	5.8	2009	18.3 Days	CHF 2400
Journal of Risk and Financial Management jrfm	-	0.7	2008	19 Days	CHF 1400
Games games	0.9	1.4	2010	20.6 Days	CHF 1600

Open AccessArticle

Integrating Spatial Risk Factors with Social Media Data Analysis for an Ambulance Allocation Strategy: A Case Study in Bangkok

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Ranon Jientrakul

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Chumpol Yuangyai

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Klongkwan Boonkul

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Pakinai Chaicharoenwut

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Suriyaphong Nilsang

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Sittiporn Pimsakul

Sustainability 2022, 14(16), 10247; https://doi.org/10.3390/su141610247 - 18 Aug 2022

Cited by 1 | Viewed by 1062

Abstract

Emergency medical service (EMS) base allocation plays a critical role in emergency medical service systems. Fast arrival of an EMS unit to an incident scene increases the chance of survival and reduces the chance of victim disability. However, recently, the allocation strategy has [...] Read more.

Emergency medical service (EMS) base allocation plays a critical role in emergency medical service systems. Fast arrival of an EMS unit to an incident scene increases the chance of survival and reduces the chance of victim disability. However, recently, the allocation strategy has been performed by experts using past data and experiences. This may lead to ineffective planning due to a lack of consideration of a recent and relevant data, such as disaster events, population density, public transportation stations, and public events. Therefore, we propose an approach of the integration of using spatial risk factors and social media factors to identify EMS bases. These factors are combined into a single domain by using the kernel density estimation technique, resulting in a heatmap. Then, the heatmap is used in a modified maximizing covering location problem with a heatmap (MCLP-Heatmap) to allocate ambulance base. To acquire recent data, social media is then used for collecting road accidents, traffic, flood, and fire incidents. Additionally, another data source, spatial risk information, is collected from Bangkok GIS. These data are analyzed using the kernel density estimation method to construct a heatmap before being sent to the MCLP-heatmap to identify EMS bases in the area of interest. In addition, the proposed integrated approach is applied to the Bangkok area with a smaller number of EMS bases than that of the existing approach. The simulated results indicated that the number of covered EMS requests was increased by 3.6% and the number of ambulance bases in action was reduced by approximately 26%. Additionally, the bases defined by the proposed approach covered more area than those of the existing approach. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Open AccessArticle

Influence of Contact Surfaces’ Impact on the Gear Profile during Hobbing Process

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Alina Duta

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Ionut-Daniel Geonea

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Dragos-Laurentiu Popa

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Ludmila Sass

Appl. Sci. 2022, 12(16), 8027; https://doi.org/10.3390/app12168027 - 10 Aug 2022

Viewed by 1403

Abstract

This work is the result of research on the dynamic process that occurs during milling machining, namely, the influence of the contact surfaces’ impact on the gear and the hob and the influence of their displacements on the resulting profile of the tooth. [...] Read more.

This work is the result of research on the dynamic process that occurs during milling machining, namely, the influence of the contact surfaces’ impact on the gear and the hob and the influence of their displacements on the resulting profile of the tooth. An acquisition system was placed on the final elements of the milling machine chain to determine the torque moments and displacements during gear milling. The experimental analysis proves that the displacements are within admissible limits and have no major influence on the quality of the processing surfaces. A dynamic simulation of the hobbing process with the finite element method (ANSYS) was performed for a limited period of time, and the values of deformation, equivalent strain, and stress have been determined; the time at which the chips come off and the corresponding value of the equivalent stress that occurs at their break were determined based on the maximum distortion energy von Misses theory. It is required to simulate the entire hobbing process, even if it can be time-consuming to differentiate the influence of the dynamic behavior of the machine’s kinematic supplementary chains on the hob wear and the tooth profile. A modal analysis will be able to support the comparative study related to the obtained experimental data. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Open AccessArticle

Accomplishing Sustainability in Manufacturing System for Small and Medium-Sized Enterprises (SMEs) through Lean Implementation

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Mohamed Rafik N. Qureshi

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Mohamed Mansour

Sustainability 2022, 14(15), 9732; https://doi.org/10.3390/su14159732 - 08 Aug 2022

Cited by 9 | Viewed by 2073

Abstract

Business enterprises such as small and medium-sized enterprises (SMEs) play a significant role in economic development but struggle for sustainability. A business enterprise such as a manufacturing unit tries many technological innovations and strategic initiatives to accomplish sustainability in the manufacturing system. Lean [...] Read more.

Business enterprises such as small and medium-sized enterprises (SMEs) play a significant role in economic development but struggle for sustainability. A business enterprise such as a manufacturing unit tries many technological innovations and strategic initiatives to accomplish sustainability in the manufacturing system. Lean manufacturing implementation is one such initiative that helps SMEs manufacture value-added products with increased profitability and waste minimization. However, lean implementation in SMEs is challenging. Hence, it is essential to follow a systematic framework and control the critical success factors (CSFs) in attempting lean implementation. The purpose of this research is to find, evaluate, and rank the CSFs of lean implementation of SMEs so that they may be controlled to accomplish successful lean implementation. The CSFs of lean implementation found by an in-depth assessment of the literature are modeled using the interpretative structural modeling (ISM) approach. MICMAC analysis is also used in classifying and understanding the significance of each lean implementation CSF. ISM and MICMAC provide the relationship modeling to reveal the inter-relationships of each lean implementation CSF. Subsequently, the ISM model is validated using the Delphi technique. The interpretative ranking process (IRP) has been applied to rank the CSFs of lean implementations. The results show that sustainability in a manufacturing system, financial capability, and employee involvement hold significant importance in lean implementations in manufacturing SMEs. Practicing managers may benefit from revisiting their lean implementation plans and respective aligned strategies. They will also be in a position to identify and focus on the scarce resources required for the subsequent lean implementations. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Open AccessArticle

Analysis of the Main Corporate Social Responsibility Drivers and Barriers and Their Foreseeable Evolution—Evidence from Two Leading Multinationals: The Airbus and TASL Cases

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Rafael García Martín

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Alfonso Duran-Heras

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Karen Reina Sánchez

Sustainability 2022, 14(13), 8167; https://doi.org/10.3390/su14138167 - 04 Jul 2022

Viewed by 1953

Abstract

This article undertakes a comparative analysis of the corporate social responsibility (CSR) drivers and barriers in the European multinational Airbus and the Indian Tata Advanced Systems Ltd. (TASL), both in their current, as-is state, and in the desirable future, should-be state. These in-depth [...] Read more.

This article undertakes a comparative analysis of the corporate social responsibility (CSR) drivers and barriers in the European multinational Airbus and the Indian Tata Advanced Systems Ltd. (TASL), both in their current, as-is state, and in the desirable future, should-be state. These in-depth case studies are based on structured interviews, complemented with a survey. The research findings provide qualified, bounded support to the currently preponderant view among CSR scholars, regarding both the preeminent role of the internal (vs. external) drivers and the key importance of moral-driven (vs. profit-driven) drivers such as the values of the top management. The caveat here reflects that, contingent on cultural issues, individual companies might not have reached this state yet. Furthermore, these findings suggest that the current CSR situation could be characterized as contingent, transitional and convergent; the practical implications for the various CSR stakeholders of this characterization are discussed. The most salient trait, convergence, suggests the existence of a certain commonality in CSR’s foreseeable evolutionary path, even among disparate companies, converging on such aspects as the ever-increasing role of the value system and of the shared, internalized company culture, and the shift of CSR’s role from obligation to potential source of competitive advantage. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Open AccessArticle

Low-Carbon Strategies Considering Corporate Environmental Responsibility: Based on Carbon Trading and Carbon Reduction Technology Investment

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Sustainability 2022, 14(11), 6683; https://doi.org/10.3390/su14116683 - 30 May 2022

Cited by 7 | Viewed by 1415

Abstract

This paper focuses on the optimal strategic choice of carbon trading and carbon reduction technology investment under the cap-and-trade system. We consider a carbon-dependent production enterprise that trades carbon emission rights or invests in carbon reduction technologies under the regulation of the cap-and-trade [...] Read more.

This paper focuses on the optimal strategic choice of carbon trading and carbon reduction technology investment under the cap-and-trade system. We consider a carbon-dependent production enterprise that trades carbon emission rights or invests in carbon reduction technologies under the regulation of the cap-and-trade system. The enterprise undertakes corporate environmental responsibility (CER) and aims to maximize the comprehensive benefits of both the economy and the environment. Using numerical simulation, we analyze the impacts of the CER coefficient and initial carbon quotas on the comprehensive benefits, optimal emission reduction rate, and production quantity of the enterprise. Our main contribution is studying the low-carbon strategic option for CER production enterprises to maximize the comprehensive benefits by trading carbon emission permits or investing in carbon emission reduction technologies. We found that the carbon emission trading mechanism plays an important role in promoting enterprises to reduce carbon emissions and is a beneficial supplement to the carbon cap policy. Under different initial carbon quotas allocated by the government, the manufacturer strategically chooses to trade carbon emission rights or invest in carbon reduction technologies. CER is a significant factor in encouraging companies to reduce carbon emissions proactively. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Open AccessArticle

Construction of Safety-Management Platform for Chemical Enterprises Based on the Immune System Model

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Appl. Sci. 2022, 12(11), 5522; https://doi.org/10.3390/app12115522 - 29 May 2022

Viewed by 1272

Abstract

Identifying risk factors and improving safety “immunity” is beneficial to chemical enterprises to reduce the occurrence of production accidents. In this paper, an immune system model has been built according to the bionics principle, and the corresponding antigen–antibody index system based on hidden [...] Read more.

Identifying risk factors and improving safety “immunity” is beneficial to chemical enterprises to reduce the occurrence of production accidents. In this paper, an immune system model has been built according to the bionics principle, and the corresponding antigen–antibody index system based on hidden dangers and treatment measures has been established, including 8 factor layers and 33 index layers. Then, the immune evaluation model of production safety was built using index weight, and an evaluation model of immune response ability for production safety was constructed based on grey system theory. Finally, aiming to identify immune deficiency through numerical analysis, a safety-management platform focused on people management, visual monitoring, and danger warning was constructed. The results verify the suitability of the immune correlation principle applied in chemical enterprises, which makes an instructive contribution to the construction of information management platforms for chemical enterprise safety production. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Open AccessArticle

Logistics 5.0 Implementation Model Based on Decision Support Systems

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Sustainability 2022, 14(11), 6514; https://doi.org/10.3390/su14116514 - 26 May 2022

Cited by 3 | Viewed by 1939

Abstract

With the introduction of Society 5.0 for the sustainable future, special caution is given to humans’ role within the general system. Similarly, Industry 5.0 as a concept has been presented, followed by Logistics 5.0 in its theoretical framework. The transition towards the new [...] Read more.

With the introduction of Society 5.0 for the sustainable future, special caution is given to humans’ role within the general system. Similarly, Industry 5.0 as a concept has been presented, followed by Logistics 5.0 in its theoretical framework. The transition towards the new concept of Logistics 5.0 requires an accurate and optimal strategic plan definition for which, in this paper, an implementation model based on decision support systems will be developed. The output data from this model are the priority of Logistics 5.0 elements (from five groups—green warehousing, green transport, green packaging, infrastructure and organization, and human resources) for the optimal implementation, based on three goals (initial investment, return of investment time, implementation and exploitation complexity) that companies aim to achieve in the future. The model is based on the analytic hierarchy process, and data were collected from an expert group and analyzed with several statistical methods. The result is a model that provides an optimal strategy for the implementation of elements of Logistics 5.0. The implementation priority list of elements is very beneficial for the management of many companies from various types of industries. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Open AccessArticle

The Challenges of Lean Transformation and Implementation in the Manufacturing Sector

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Catherine Maware

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David M. Parsley II

Sustainability 2022, 14(10), 6287; https://doi.org/10.3390/su14106287 - 21 May 2022

Cited by 6 | Viewed by 5743

Abstract

In this study we explored the challenges involved in Lean Transformation and implementation in the manufacturing sector. Using survey data from 50 North American manufacturing organizations, we examined the challenges involved in implementing and sustaining Lean Manufacturing (LM) principles and practices in production [...] Read more.

In this study we explored the challenges involved in Lean Transformation and implementation in the manufacturing sector. Using survey data from 50 North American manufacturing organizations, we examined the challenges involved in implementing and sustaining Lean Manufacturing (LM) principles and practices in production processes. The fuzzy analytic hierarchy process (FAHP) and the fuzzy analytic network process (FANP) were used to rank the considerable challenges observed in these organizations. We concluded that the need for a change in organizational culture was the major barrier to Lean implementation. It is challenging to sustain Lean without a culture shift and a clear direction set by the organization’s leadership team. The originality of the paper relates to prioritizing the cultural aspects of organizations as a major barrier to LM implementation. Other challenges encountered during Lean implementation in the manufacturing industries were related to management support, technical knowledge, and employee resistance to change. Early identification of these challenges enables companies to question their capabilities before implementing the Lean philosophy. In this study we used results obtained from 50 manufacturing companies in North America, representing a subset of manufacturing organizations. As a result, it must be interpreted based on the data acquisition method and the study’s sample size. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Open AccessArticle

Dynamics between Power Consumption and Economic Growth at Aggregated and Disaggregated (Sectoral) Level Using the Frequency Domain Causality

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J. Risk Financial Manag. 2022, 15(5), 219; https://doi.org/10.3390/jrfm15050219 - 16 May 2022

Cited by 2 | Viewed by 1928

Abstract

We investigated the Granger causal relationship between the consumption of power both at the aggregate and sectoral level and economic growth in India using the frequency domain approach, which would help policy makers seek the efficient allocation of electricity via proper policy initiatives [...] Read more.

We investigated the Granger causal relationship between the consumption of power both at the aggregate and sectoral level and economic growth in India using the frequency domain approach, which would help policy makers seek the efficient allocation of electricity via proper policy initiatives at different frequencies. We find that at the aggregate level, unidirectional causality runs from the total power consumption to economic growth, starting from the second up to the seventh quarter. In the sectoral context, the results are different. Since there is no causality between industrial power consumption and economic growth; therefore, an energy conservation policy can thus be implemented for the industrial sector. Moreover, since a bidirectional causality exists after 15 quarters for the commercial sector, a short-term policy but not an energy conservation policy could also be initiated for this sector. In the industrial and agricultural sectors, a promotional policy should be initiated because a unidirectional causality exists from sectoral power consumption to economic growth. Therefore, different and sector-specific policies would be more appropriate than a single policy for all power sectors in India in order to orient the efficient utilisation of power towards better economic development. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Open AccessArticle

Cross-Regional Dynamic Transfer Characteristics of Liquid Oil Contamination Induced by Random Contact in Machining Workshops in Shanghai, China

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Appl. Sci. 2022, 12(9), 4765; https://doi.org/10.3390/app12094765 - 09 May 2022

Viewed by 867

Abstract

In industrial sites, the movement and contact behaviors of workers are random, but their frequency and statistical characteristics can be determined. Particularly in machining workshops, metalworking fluids (MWFs) cause liquid oil contamination on the processed workpieces, and the contamination spreads to the entire [...] Read more.

In industrial sites, the movement and contact behaviors of workers are random, but their frequency and statistical characteristics can be determined. Particularly in machining workshops, metalworking fluids (MWFs) cause liquid oil contamination on the processed workpieces, and the contamination spreads to the entire workshop given the random contact of workers or the handling of workpieces. This study proposes a contact transmission model based on the Markov chain to quantify oil contamination transfer. First, the transfer efficiency between the glove and the workpiece, which is regarded as a key model parameter in this research, was determined through experiments. The model was used to characterize and predict the spread of oil contamination across different regions, including production and assembly areas. Specifically, the oil contamination concentrations on workbench surfaces in seven locations of a machining workshop in Shanghai GKN HUAYU Driveline Systems Co., Ltd. (SDS) were measured on-site. Findings showed that the model could feasibly depict the transfer process of oil contamination across different surfaces. Then, the variation law of oil contamination concentration on the workbench surfaces over time was analyzed, the oil contamination distribution map of the entire workshop plane was drawn, and the effectiveness of two cleaning measures to reduce oil contamination concentrations was compared. The proposed contact transmission model offers a basis for identifying highly polluted surfaces in machining workshops and controlling the spread of liquid oil contamination. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Open AccessArticle

Service Innovation and Quality Assessment of Industry 4.0 Microservice through Data Modeling and System Simulation Evaluation Approaches

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Yen-Chun Wen

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Wun-Hwa Chen

Appl. Sci. 2022, 12(9), 4718; https://doi.org/10.3390/app12094718 - 07 May 2022

Cited by 1 | Viewed by 1223

Abstract

This study proposes a system construction approach under Industry 4.0 infrastructure that is validated by the proposed framework of microservice quality assessment with framework with data modeling and simulation methodology to achieve innovation and value cocreation goals. The framework, which combines a dynamic [...] Read more.

This study proposes a system construction approach under Industry 4.0 infrastructure that is validated by the proposed framework of microservice quality assessment with framework with data modeling and simulation methodology to achieve innovation and value cocreation goals. The framework, which combines a dynamic process flow with service-dominant logic design and reliability assessment using a multilayer perceptron (MLP) prediction model can assist decision makers in optimizing their service innovation and decision-making processes. The service innovation and evaluation approaches have implications for optimizing the corporation cooperation. The corporation can form a much more comprehensive manufacturing infrastructure or system by considering the requirements and assessment results of third parties. To help the corporation redefine its value proposition and system structure, we must examine the system interaction between different hierarchical layers within the Industry 4.0 system infrastructure. This study used a production dataset from the NASDAQ-listed electronics corporation and two top German and Japanese automobile firms. The proposed system framework had already been validated and introduced to improve 12% of service quality. The system integrated with anticipated functions will accelerate service innovation and optimization by combining MLP and Kaplan–Meier estimation methodologies by extracting the characteristics of realistic datasets. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Open AccessArticle

Effects of Carbon Policy on Carbon Emission Reduction in Supply Chain under Uncertain Demand

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Sustainability 2022, 14(9), 5548; https://doi.org/10.3390/su14095548 - 05 May 2022

Cited by 5 | Viewed by 1529

Abstract

Although there are many articles on carbon emission reduction of sustainable supply chain, most of them study the carbon emission reduction efficiency of supply chain in the case of single carbon policy or demand determination. Based on previous studies, this paper considered a [...] Read more.

Although there are many articles on carbon emission reduction of sustainable supply chain, most of them study the carbon emission reduction efficiency of supply chain in the case of single carbon policy or demand determination. Based on previous studies, this paper considered a supply chain consisting of a single manufacturer and a single retailer in an uncertain demand market. The effects of demand randomness and different carbon policies on carbon emission reduction level and optimal decision in supply chain were studied by constructing mean-variance utility function and Stackelberg game. Due to the difficulty of data acquisition, this paper verified the equalization results by numerical simulation. The results show that: (1) cap-and-trade policy, government subsidy policy and carbon tax policy can promote the carbon emission reduction investment of supply chain, while carbon tax policy will lead to the decline of the overall profit of supply chain; (2) For the manufacturer and the retailer, adopting a strategy with a low degree of risk avoidance will increase its own profits; (3) For the supply chain as a whole, it is more advantageous for manufacturers to adopt higher risk avoidance strategies, while retailers to adopt lower risk avoidance strategies. In addition, in the conclusion, this paper puts forward management implications related to stakeholders, thus providing help for the development of sustainable supply chain. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Open AccessArticle

Leveraging Quantity Surveying Data and BIM to Automate Mechanical and Electrical (M & E) Construction Planning

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Appl. Sci. 2022, 12(9), 4546; https://doi.org/10.3390/app12094546 - 29 Apr 2022

Cited by 1 | Viewed by 1864

Abstract

Despite the great potential of LPS and BIM to improve construction project productivity, the full integration of these modern production and information management systems at the data processing level is not yet achieved. After matching the literature to empirical studies in a Constructive [...] Read more.

Despite the great potential of LPS and BIM to improve construction project productivity, the full integration of these modern production and information management systems at the data processing level is not yet achieved. After matching the literature to empirical studies in a Constructive Research Approach, it emerged that very few studies have investigated how buildings’ data could be preserved and continuously evolve during the project lifecycle. Accordingly, we underline the potential role of data warehousing in rendering operational data as a strategic asset for decision making. These findings motivate the present research, which aims to capitalize on quantity surveying data in order to automate the generation of M & E installation schedules. This paper first introduces the system functional requirements. Then, it proposes a conceptual scheme for the planning data mart (a data warehouse subset dedicated to planning subject area). Furthermore, we shed light on the M & E fragnet standardization procedure and how data have been processed. Finally, we present the current software developments to demonstrate the feasibility of this concept. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Open AccessArticle

Technical–Economic Analysis of the Solutions for the Modernization of Lighting Systems

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Elisabeta Spunei

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Nătălița-Mihaela Frumușanu

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Gheorghița Măran

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Mihaela Martin

Sustainability 2022, 14(9), 5252; https://doi.org/10.3390/su14095252 - 26 Apr 2022

Cited by 1 | Viewed by 1077

Abstract

In the context of the electricity crisis, measures are needed to reduce energy consumption. The case study was conducted on the lighting system at a university sports hall. To determine the efficiency and quality, the lighting systems and technical characteristics of the sources [...] Read more.

In the context of the electricity crisis, measures are needed to reduce energy consumption. The case study was conducted on the lighting system at a university sports hall. To determine the efficiency and quality, the lighting systems and technical characteristics of the sources used were identified, lighting level measurements were made, the luminotechnical coefficients and the power of the whole lighting system were calculated and the results were compared to the values set out in the standards. Following analysis, the lighting system was found not to meet the quality requirements and was energy inefficient. For financial efficiency, only the replacement of lighting was sought, keeping the same equipment and granting the same facilities to the building users. Some lighting source options were analyzed and the option to have the highest luminous efficacy and the highest energy class was chosen. The analysis shows that the investment is amortized within a maximum of 17 months. The innovative aspect is based on linking the measurements with the determination of power and the proposal of modernization solutions, which shows the need for investments to ensure the quality of the system and the increase in energy efficiency. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Open AccessArticle

Sustainability Management Model Based on Risk Analysis and Implementation of the Model

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Semih Coşkun

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Elif Akgül

Sustainability 2022, 14(8), 4396; https://doi.org/10.3390/su14084396 - 07 Apr 2022

Cited by 1 | Viewed by 1545

Abstract

In modern business management, the effective management of organizational structures based on goals within the scope of modern management concepts, as well as the continuous improvement of processes for increasing competitiveness, are critical. The purpose of this study is to discuss the matter [...] Read more.

In modern business management, the effective management of organizational structures based on goals within the scope of modern management concepts, as well as the continuous improvement of processes for increasing competitiveness, are critical. The purpose of this study is to discuss the matter of risk identification and analysis, practices that are seen in many different fields within the scope of the notion of sustainable management. It aimed to add the dimensions of targets and risk analysis to the scope of process analysis and development, within this study. The stages, starting with the definition of the processes in the process model through the targets based on the risk analysis, are transformed into a quality assurance cycle and completed with the determination, monitoring, and evaluation of the sustainable process development activities. The performance indicators of the business processes in a textile business were determined, and the identification of a model structure with systematic traceability was provided, in practice. The opportunities and threats encountered in achieving the determined goals were identified. The defined factors were examined within the scope of the failure mode and effects analysis and risk analysis methods. The risk evaluations were performed using fuzzy numbers. The results obtained by fuzzy failure mode effects analysis were evaluated through the MATLAB Fuzzy Logic Design Toolbox model. Risks were ranked as a result of the evaluation, and process development activities were chosen. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Open AccessArticle

Current Density Limit of DC Grounding Facilities Considering Impact on Zebrafish (Brachydanio rerio)

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Sustainability 2022, 14(7), 3942; https://doi.org/10.3390/su14073942 - 26 Mar 2022

Viewed by 1206

Abstract

Grounding facilities, including high-voltage DC grounding electrodes and auxiliary anodes in impressed current cathodic protection systems, inject current into the ground. This study developed an experimental platform to determine the safe limit of current density for such facilities through an analysis of fish [...] Read more.

Grounding facilities, including high-voltage DC grounding electrodes and auxiliary anodes in impressed current cathodic protection systems, inject current into the ground. This study developed an experimental platform to determine the safe limit of current density for such facilities through an analysis of fish behavior on the platform. Zebrafish (Brachydanio rerio) were selected for the experiment and placed in a tank; two rod electrodes were used to inject direct current into the water. A wireless camera was focused on the water tank to video record possible changes in fish behavior. The output voltage of the DC power source was varied, and the trajectories of the fish under various direct current fields were recorded. A tracking program was developed to analyze the trajectories and quantify the behavior of the fish. A new method combining the trajectories of fish samples with the results of current density calculations for analysis was proposed. Results demonstrated that the zebrafish could sense current in the water and turn when exposed to certain current densities. The intensity of the current at the turning points was statistically analyzed, and the threshold of current density at which the fish could no longer tolerate the current and turned was 0.4231 A/m². Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Open AccessArticle

Ambidexterity in a Rapidly Changing Environment of China: Top Management Team Decision Making and Sustained Performance

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Jiewei Zu

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Jianan Wang

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Jun Ma

Sustainability 2022, 14(7), 3894; https://doi.org/10.3390/su14073894 - 25 Mar 2022

Cited by 3 | Viewed by 1675

Abstract

The market requires Internet companies to achieve unit ambidexterity to adapt to a rapidly changing market environment. Studies have discussed the background, behavior, and performance of corporate ambidexterity but have not focused on formulating ambidextrous decisions by the top management team. We implemented [...] Read more.

The market requires Internet companies to achieve unit ambidexterity to adapt to a rapidly changing market environment. Studies have discussed the background, behavior, and performance of corporate ambidexterity but have not focused on formulating ambidextrous decisions by the top management team. We implemented inductive multiple case studies by utilizing five Chinese Internet companies as subjects. Results show that if the senior managers consider the contingency between business and environment from the perspective of the entire industry to achieve goals, resource allocation, and co-evolution, and effectively coordinate the internal conflict of the decision-making process, then the company could attain sustained performance. The newly constructed theoretical framework emphasizes the role of contingency and strategy behavior, rather than deterministically interpreting the outcome based on the personal judgment of senior managers and the embeddedness of units. Full article

(This article belongs to the Topic Industrial Engineering and Management)

Open AccessArticle

Context-Based Decision Support System for Energy Efficiency in Industrial Plants

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Rui Neves-Silva

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Luis M. Camarinha-Matos

Sustainability 2022, 14(7), 3885; https://doi.org/10.3390/su14073885 - 25 Mar 2022

Cited by 1 | Viewed by 1529

Abstract

Industrial companies must actively pursue more energy efficiency in their processes, with impacts on both costs and the environment, and ultimately business performance. This article explores the influence of context around the manufacturing process on energy consumption. By creating awareness of this influence [...] Read more.

Industrial companies must actively pursue more energy efficiency in their processes, with impacts on both costs and the environment, and ultimately business performance. This article explores the influence of context around the manufacturing process on energy consumption. By creating awareness of this influence in a quantified way, it is possible, via a structured decision process, to find opportunities and derive solutions to improve energy performance. This work introduces a method developed in the scope of the LifeSaver project, which is based on the visualization of energy consumption data against benchmark/average values. The overall approach is supported by a software platform which offers a set of functionalities covering the complete approach, from the detection of the consumption pattern to the implementation of improvement solutions. The approach was tested in two industrial business cases. The first one illustrates the approach by showing the influence of the human factor on the energy performance in cement production. The second case deals with finding opportunities on the selection of the operation point, and its impact on peak load management. The proposed approach and developed system demonstrate a positive direct impact on reducing energy consumption and consequent carbon dioxide emissions. Furthermore, the operation of the implemented case studies has an important indirect effect on bringing awareness to the impact of small actions on general energy efficiency. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Open AccessArticle

Effects of Black Liquor Shocks on the Stability of Activated Sludge Treatment of Kraft Pulp Mill Effluent: Morphological Alteration in Daphnia magna and Mutagenicity and Genotoxicity Response in Salmonella typhimurium

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Sustainability 2022, 14(7), 3869; https://doi.org/10.3390/su14073869 - 25 Mar 2022

Viewed by 1377

Abstract

The objective of this study is to evaluate the stability of activated sludge (AS) in the treatment of kraft pulp mill effluent exposed to black liquor shock, as well as the effect of its exposure on the morphology of Daphnia magna and DNA [...] Read more.

The objective of this study is to evaluate the stability of activated sludge (AS) in the treatment of kraft pulp mill effluent exposed to black liquor shock, as well as the effect of its exposure on the morphology of Daphnia magna and DNA damage through mutagenicity and genotoxicity response in Salmonella typhimurium. To this end, we applied doses of 2-, 4-, 10-, and 30-mL black liquor/L influent—shock 1 (S1), shock 2 (S2), shock 3 (S3), and shock 4 (S4), respectively—to kraft pulp mill effluent. The system stability was checked by analyzing heterotrophic biomass activity and discharge quality, evaluated using Ames test and Daphnia magna. The results show that the chemical oxygen demand (COD) removal efficiency for normal conditions was 64.84%, falling to 61.68%, and 61.31% for S1 and S2, respectively, and values of 52.11% for S3 and 20.34% for S4. The biomass activity decreased after each shock was applied, but then recovered. There was no evidence of lethal toxicity (LC₅₀) to Daphnia magna at any of the concentrations. Therefore, it is feasible to apply doses S1 and S2 to an AS system that treats kraft pulp mill effluent. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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A Study of Hybrid Predictions Based on the Synthesized Health Indicator for Marine Systems and Their Equipment Failure

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Appl. Sci. 2022, 12(7), 3329; https://doi.org/10.3390/app12073329 - 25 Mar 2022

Viewed by 1208

Abstract

Ship mechanical system health prognosis is one of the major tasks of ship intelligent operation and maintenance (O&M). However, current failure prediction methods are aimed at single pieces of equipment, and system-level monitoring remains an underexplored area. To address this issue, an integration [...] Read more.

Ship mechanical system health prognosis is one of the major tasks of ship intelligent operation and maintenance (O&M). However, current failure prediction methods are aimed at single pieces of equipment, and system-level monitoring remains an underexplored area. To address this issue, an integration method based on a synthesized health indicator (SHI) and dynamic hybrid prediction is proposed. To accurately reflect the changes in system health conditions, a multi-state parameter fusion method based on dynamic kernel principal component analysis (DKPCA) and the stacked autoencoder (SAE) is presented, along with construction of a system SHI. Taking into consideration that the system degradation process includes global degradation trends, local self-healing phenomena, and local interference, a dynamic hybrid prediction model is established after SHI decomposition. The performance of the proposed approach is applied to a ship fuel-oil system to show its effectiveness. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Political and Socioeconomic Factors That Determine the Financial Outcome of Successful Green Innovation

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Kevin Riehl

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Florian Kiesel

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Dirk Schiereck

Sustainability 2022, 14(6), 3651; https://doi.org/10.3390/su14063651 - 20 Mar 2022

Cited by 4 | Viewed by 1830

Abstract

Green innovation and technology diffusion must be financially and commercially attractive to convince corporate decision makers. This paper focuses on the factors that determine the financial outcome of successful green innovation activities conducted by large, listed companies. We employ a cross-industry dataset including [...] Read more.

Green innovation and technology diffusion must be financially and commercially attractive to convince corporate decision makers. This paper focuses on the factors that determine the financial outcome of successful green innovation activities conducted by large, listed companies. We employ a cross-industry dataset including more than 97,954 reports on corporate environmentalism from 286 international listed companies. Our results indicate that economic, political, cultural, firm-specific, investor-related, and governance factors significantly determine the financial performance of green innovation, measured by abnormal returns. Moreover, we can show that factors that reduce the competition in green innovation markets benefit the financial success of firms operating via them. Finally, we find an opposing influence for several factors that benefit earlier stages of innovation (e.g., research output) while harming the later stages (e.g., market introduction and financial performance). These findings imply that a spatial separation strategy for different stages of innovation supports corporate environmentalism activities. Moreover, physical property rights, the governments’ willingness to support green technologies, and economic framework conditions such as oil price, GDP, or public R&D budget need to be balanced by policymakers to address and stimulate green innovation. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Energy-Saving for Industrial Pneumatic Actuation Systems by Exhausted Air Reuse Based on a Constant Pressure Elastic Accumulator

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Sustainability 2022, 14(6), 3535; https://doi.org/10.3390/su14063535 - 17 Mar 2022

Cited by 3 | Viewed by 1371

Abstract

Exhausted air reuse is one of the most important energy-saving methods for pneumatic actuation systems. However, traditional exhausted air storage tanks have the disadvantages of unstable pressure and low energy density. To solve these problems, this paper presents an energy-saving method by exhausted [...] Read more.

Exhausted air reuse is one of the most important energy-saving methods for pneumatic actuation systems. However, traditional exhausted air storage tanks have the disadvantages of unstable pressure and low energy density. To solve these problems, this paper presents an energy-saving method by exhausted air reuse for industrial pneumatic actuation systems based on a constant pressure elastic accumulator. Employing the hyperelastic mechanical properties of rubber, a constant pressure energy storage accumulator is designed and applied to a pneumatic circuit for exhausted air recovery and energy saving. In the circuit, the accumulator recovers exhausted air from a primary cylinder and supplies it to another secondary cylinder. Then the secondary cylinder no longer needs air supply from the air compressor to achieve the purpose of energy saving. The energy-saving mathematical model of the circuit is established using air consumption, and the system operation test bed is built to verify the energy-saving efficiency. Results show that the maximum energy-saving efficiency of the system is 54.1% under given working conditions, and the stability of the cylinder can be improved. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Quality Attributes of Hotel Services in Brazil and the Impacts of COVID-19 on Users’ Perception

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Clérito Kaveski Peres

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Edson Pacheco Paladini

Sustainability 2022, 14(6), 3454; https://doi.org/10.3390/su14063454 - 15 Mar 2022

Cited by 6 | Viewed by 2156

Abstract

The unprecedented crisis faced by the hotel industry due to the COVID-19 pandemic has brought about changes in guests’ perceptions of service quality attributes. In view of the need to monitor this environment, this study is dedicated to identifying the main negative topics [...] Read more.

The unprecedented crisis faced by the hotel industry due to the COVID-19 pandemic has brought about changes in guests’ perceptions of service quality attributes. In view of the need to monitor this environment, this study is dedicated to identifying the main negative topics related to the quality of hotel services in Brazil and the impacts of the COVID-19 pandemic on guests’ perception of these topics. For this purpose, a set of 866,048 online hotel reviews were collected from the Booking.com platform. Initially, data were analyzed through topic modeling to identify the attributes addressed by guests in their evaluations. Subsequently, an average comparison method was used to evaluate the impact of the pandemic on the evaluation scores of each attribute. A total of 13 topics related to five attributes of hotel service quality were identified. The topics related to room cleaning and check-in were the most negatively impacted by the COVID-19 pandemic, with the largest drops in average evaluation scores. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Rescheduling Plan Optimization of Underground Mine Haulage Equipment Based on Random Breakdown Simulation

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Sustainability 2022, 14(6), 3448; https://doi.org/10.3390/su14063448 - 15 Mar 2022

Cited by 2 | Viewed by 1221

Abstract

Due to production space and operating environment requirements, mine production equipment often breaks down, seriously affecting the mine’s production schedule. To ensure the smooth completion of the haulage operation plan under abnormal conditions, a model of the haulage equipment rescheduling plan based on [...] Read more.

Due to production space and operating environment requirements, mine production equipment often breaks down, seriously affecting the mine’s production schedule. To ensure the smooth completion of the haulage operation plan under abnormal conditions, a model of the haulage equipment rescheduling plan based on the random simulation of equipment breakdowns is established in this paper. The model aims to accomplish both the maximum completion rate of the original mining plan and the minimum fluctuation of the ore grade during the rescheduling period. This model is optimized by improving the wolf colony algorithm and changing the location update formula of the individuals in the wolf colony. Then, the optimal model solution can be used to optimize the rescheduling of the haulage plan by considering equipment breakdowns. The application of the proposed method in an underground mine revealed that the completion rate of the mine’s daily mining plan reached 83.40% without increasing the amount of equipment, while the ore quality remained stable. Moreover, the improved optimization algorithm converged quickly and was characterized by high robustness. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Process Monitoring Using Kernel PCA and Kernel Density Estimation-Based SSGLR Method for Nonlinear Fault Detection

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Faisal Shahzad

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Zhensheng Huang

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Waqar Hussain Memon

Appl. Sci. 2022, 12(6), 2981; https://doi.org/10.3390/app12062981 - 15 Mar 2022

Cited by 8 | Viewed by 1576

Abstract

Fault monitoring is often employed for the secure functioning of industrial systems. To assess performance and enhance product quality, statistical process control (SPC) charts such as Shewhart, CUSUM, and EWMA statistics have historically been utilized. When implemented to multivariate procedures, unfortunately, such univariate [...] Read more.

Fault monitoring is often employed for the secure functioning of industrial systems. To assess performance and enhance product quality, statistical process control (SPC) charts such as Shewhart, CUSUM, and EWMA statistics have historically been utilized. When implemented to multivariate procedures, unfortunately, such univariate control charts demonstrate low fault sensing ability. Due to some limitations of univariate charts, numerous process monitoring techniques dependent on multivariate statistical approaches such as principal component analysis (PCA) and partial least squares (PLS) have been designed. Yet, in some challenging scenarios in industrial chemical and biological processes with notably nonlinear properties, PCA works poorly, according to its presumption that the dataset generally be linear. However, Kernel Principal Component Analysis (KPCA) is a reliable and precise nonlinear process control methodology, but the interaction mainly through upper control limits (UCLs) dependent on the Gaussian distribution may weaken its output. This article introduces time-varying statistical error tracking through Kernel Principal Component Analysis (KPCA) based on Generalized Likelihood Ratio statistics (GLR) using a sequential sampling scheme named KPCA-SSGLR for nonlinear fault detection. The main issue of employing just T² and Q statistic in KPCA is that they cannot correctly give practitioners the change point of the system fault, preventing practitioners from diagnosing the issue. Based on this perspective, this study attempts to incorporate KPCA with sequential sampling Generalized Likelihood Ratio (SSGLR) for monitoring the nonlinear fault in multivariate systems. The KPCA is utilized for dimension reduction, while the SSGLR is employed as a tracking statistic. The kernel density estimation (KDE) was employed to approximate UCLs for variational system operation relying on KPCA. The testing efficiency of the corresponding KPCA-KDE-SSGLR technique was then analyzed and competed with KPCA and kernel locality preserving projection (KLPP), the UCLs of which were focused on the Gaussian distribution. The purpose of this analysis is to enhance the development of KPCA-KDE-SSGLR to accomplish future enhancements and to advance the practical use of the established model by implementing the sequential sampling GLR approach. The fault monitoring efficiency is demonstrated through different simulation scenarios, one utilizing synthetic data, the other from the Tennessee Eastman technique, and lastly through a hot strip mill. The findings indicate the applicability of the KPCA-KDE-based SSGLR system over the KLPP and KPCA-KDE methods by its two T² and Q charts to recognize the faults. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Influence Mechanism of High-Tech Industrial Agglomeration on Green Innovation Performance: Evidence from China

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Sustainability 2022, 14(6), 3187; https://doi.org/10.3390/su14063187 - 08 Mar 2022

Cited by 8 | Viewed by 1611

Abstract

This paper uses panel data from 30 provinces and cities in China between 2008 and 2017. It calculates the green innovation performance of each province and city based on the super-efficiency SBM model of unexpected output and measures the high-tech industrial agglomeration degree [...] Read more.

This paper uses panel data from 30 provinces and cities in China between 2008 and 2017. It calculates the green innovation performance of each province and city based on the super-efficiency SBM model of unexpected output and measures the high-tech industrial agglomeration degree of each province and city by using the location entropy method. The influence of high-tech industrial agglomeration on green innovation is also empirically tested. It is found that the agglomeration level of high-tech industry and green innovation performance in Eastern China are much higher than those in Central and Western regions. There is a significant positive relationship between high-tech industrial agglomeration and green innovation performance. Human capital has a mediating effect in the positive impact of high-tech industry agglomeration on green innovation performance. The moderating effect of environmental regulation is markedly established. The higher the level of environmental regulation, the stronger the mediating effect of human capital. Based on the above conclusions, this paper puts forward relevant policy suggestions for promoting the organic combination of green and innovation-driven development and for promoting green transformation in China. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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A New Reform of Mining Production and Management Modes under Industry 4.0: Cloud Mining Mode

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Appl. Sci. 2022, 12(6), 2781; https://doi.org/10.3390/app12062781 - 08 Mar 2022

Cited by 8 | Viewed by 1730

Abstract

In the context of Industry 4.0, using a new generation of information technology to activate and transform traditional industries will maintain the long-term competitiveness of traditional industries. The mining industry is also going through the process of informatization transformation. Through a literature survey, [...] Read more.

In the context of Industry 4.0, using a new generation of information technology to activate and transform traditional industries will maintain the long-term competitiveness of traditional industries. The mining industry is also going through the process of informatization transformation. Through a literature survey, we analyze the current situation and challenges faced by mine production and operation management. Many mining companies are expanding in scale, but their operation and management methods are inefficient, and their business processes and organizational management methods need to be reformed. We propose a new mode named CM mode (cloud mining mode). We define this as integrating the core business of the mine (such as production and operation management, mining technology, planning services, etc.) into the cloud through effective use of cloud technologies, cloud resources, and cloud services. A large number of human and intellectual resources move to the cloud. A new mode of operation and management of mining industry clusters is thus formed; it is open, cooperative, and coordinated. We present five elements of the CM mode: data resources, digital technologies, digital talents, cloud business form, and cloud cooperation mode. We establish a “cloud–edge–terminal” technical framework of the CM mode, and describe its technical characteristics. We also describe three main application scenarios of the CM mode, and highlight the development path and key points of construction. The CM mode highlights a new development direction for the production and management of intelligent mines, and is of great significance for giving full play to the value of intelligent construction. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Characterization of Emissions in Fab Labs: An Additive Manufacturing Environment Issue

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Shirin Khaki

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Maud Rio

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Philippe Marin

Sustainability 2022, 14(5), 2900; https://doi.org/10.3390/su14052900 - 02 Mar 2022

Cited by 5 | Viewed by 1436

Abstract

The emergence of additive manufacturing (AM) technologies, such as 3D printing and laser cutting, has created opportunities for new design practices covering a wide range of fields and a diversity of learning and teaching settings. The potential health impact of particulate matter and [...] Read more.

The emergence of additive manufacturing (AM) technologies, such as 3D printing and laser cutting, has created opportunities for new design practices covering a wide range of fields and a diversity of learning and teaching settings. The potential health impact of particulate matter and volatile organic compounds (VOCs) emitted from AM technologies is, therefore, a growing concern for makers. The research behind this paper addresses this issue by applying an indoor air quality assessment protocol in an educational fabrication laboratory. The paper presents the evaluation of the particle emission rate of different AM technologies. Real-time monitoring of multiple three-dimensional Polylactic Acid (PLA), Acrylonitrile Butadiene Styrene (ABS) and Thermoplastic Elastomers (TPE) printers and Polymethyl methacrylate (PMMA) laser cutters was performed in different usage scenarios. Non-contact electrical detectors and off-line gas chromatography–mass spectrometry (GC-MS) were used to detect VOCs. The results show that the emitted particle surface area concentrations vary between 294 and 406.2 μm²/cm³ for three-dimensional printers, and between 55.06 and 92.3 μm²/cm³ for laser cutters. The experiments demonstrate that the emission concentrations were highly dependent on the filtration systems in place. The highest quantities of VOCs emitted included Cyclohexene and Benzyl Alcohol for PLA, ABS and TPE 3D printers, and formic acid and Xylene for PMMA laser cutters. The experiment concludes that signature emissions are detectable for a given material type and an AM technology pair. A suitable mitigation strategy can be specified for each signature detected. Finally, this paper outlines some guidelines for improving indoor air quality in such specific environments. The data provided, as well as the proposed indoor air quality protocol, can be used as a baseline for future studies, and thus help to determine whether the proposed strategies can enhance operator and bystander safety. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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The Influence of Collaboration on Enterprises Internationalization Process

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Beatriz Andres

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Raul Poler

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Eduardo Guzman

Sustainability 2022, 14(5), 2843; https://doi.org/10.3390/su14052843 - 28 Feb 2022

Cited by 6 | Viewed by 1851

Abstract

At present, competitive globalized environments force enterprises to make more effort to both set up collaborative processes among networked partners and open their borders to the internationalization process. With this participation in internationalization processes, a set of barriers emerges that enterprises must overcome, [...] Read more.

At present, competitive globalized environments force enterprises to make more effort to both set up collaborative processes among networked partners and open their borders to the internationalization process. With this participation in internationalization processes, a set of barriers emerges that enterprises must overcome, particularly SMEs. The internationalization barriers are classified in four main dimensions, namely, strategy, technology, partners and product, which are considered to establish relationships between the internationalization and the collaborative processes. Accordingly, the research objective is to analyse the extent to which collaboration with international partners facilitates the internationalization process. A research survey was held with Spanish manufacturing SMEs to assess the internationalization of operations by establishing collaborative processes in global networks. Two surveys were conducted to analyse collaboration and internationalization concepts, and the influences among them: (i) a first survey, designed to validate the posed hypothesis about the relation between internationalization and setting up collaborative processes; (ii) a second survey, devised to perform a descriptive analysis that identifies less-applied collaborative processes in SMEs by establishing internationalization activities. The study results reveal that collaboration positively influences the internationalization process, and identifies the collaborative processes that are less performed among the partners that internationalize their operations. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Energy-Saving Oriented Manufacturing Workshop Facility Layout: A Solution Approach Using Multi-Objective Particle Swarm Optimization

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Sustainability 2022, 14(5), 2788; https://doi.org/10.3390/su14052788 - 27 Feb 2022

Cited by 7 | Viewed by 1732

Abstract

Low-carbon sustainable development has become the consensus of manufacturing enterprises to fulfill their social responsibilities. Facility layout is an essential part of manufacturing system planning. Current research has demonstrated the advantages of energy saving on the manufacturing system level where operational methods (e.g., [...] Read more.

Low-carbon sustainable development has become the consensus of manufacturing enterprises to fulfill their social responsibilities. Facility layout is an essential part of manufacturing system planning. Current research has demonstrated the advantages of energy saving on the manufacturing system level where operational methods (e.g., energy-efficient production scheduling and path planning) can be utilized and do not require massive investment in the existing legacy system. However, these efforts are mostly based on the existing fixed facility layout. Meanwhile, although facility layout problems have been extensively studied so far, the related work seldom involves the optimization of energy consumption (EC) or other EC-related environmental impact indicators, and does not clearly reveal if EC can be an independent optimization objective in facility layout. Accordingly, whether the energy-saving potential of a manufacturing system can be further tapped through rational facility layout is the gap of the current study. To address this, an investigation into energy-saving oriented manufacturing workshop facility layout is conducted. Correspondingly, an energy-efficient facility layout (EFL) model for the multi-objective optimization problem that minimizes total load transport distance and EC is formulated, and a multi-objective particle swarm optimization-based method is proposed as the solution. Furthermore, experimental studies verify the effectiveness of the presented model and its solution, indicating that EC can be regarded as an independent optimization objective during facility layout, and EFL is a feasible energy-saving approach for a manufacturing system. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Scientometric Analysis of Research on Corporate Social Responsibility

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Mario Morales-Parragué

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Luis Araya-Castillo

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Fidel Molina-Luque

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Hugo Moraga-Flores

Sustainability 2022, 14(4), 2291; https://doi.org/10.3390/su14042291 - 17 Feb 2022

Cited by 4 | Viewed by 2585

Abstract

This work shows how Corporative Social Responsibility (CSR) has been filtering into different management areas, providing an insight into its evolution, and presenting literature reviews and efforts to incorporate conceptualisations and recommendations on its application. It can be understood through a scientometric and [...] Read more.

This work shows how Corporative Social Responsibility (CSR) has been filtering into different management areas, providing an insight into its evolution, and presenting literature reviews and efforts to incorporate conceptualisations and recommendations on its application. It can be understood through a scientometric and bibliometric analysis, using the WoS documents on the “Social Responsibility” concept in the “Business and Economics” category, analysing a total of 8728 papers up to the year 2020. In this work, CSR is associated with views from different fields of study in economics and business, highlighting diverse management fields; it seeks to explain the correlation between CSR and concepts from such fields of study, suggesting that there is a need to order and question the current understanding of CSR and show its relevance so it can be considered an area of specialisation within the management of businesses. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Task Allocation in Human–Machine Manufacturing Systems Using Deep Reinforcement Learning

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Taejong Joo

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Hyunyoung Jun

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Dongmin Shin

Sustainability 2022, 14(4), 2245; https://doi.org/10.3390/su14042245 - 16 Feb 2022

Cited by 4 | Viewed by 1805

Abstract

Catering for human operators is a critical aspect in the sustainability of a manufacturing sector. This paper presents a task allocation problem in human–machine manufacturing systems. A key aspect of this problem is to carefully consider the characteristics of human operators having different [...] Read more.

Catering for human operators is a critical aspect in the sustainability of a manufacturing sector. This paper presents a task allocation problem in human–machine manufacturing systems. A key aspect of this problem is to carefully consider the characteristics of human operators having different task preferences and capabilities. However, the characteristics of human operators are usually implicit, which makes the mathematical formulation of the problem difficult. In addition, variability in manufacturing systems such as job completion and machine breakdowns are prevalent. To address these challenges, this paper proposes a deep reinforcement learning-based approach to accommodate the unobservable characteristics of human operators and the stochastic nature of manufacturing systems. Historical data accumulated in the process of job assignment are exploited to allocate tasks to either humans or machines. We demonstrate that the proposed model accommodates task competence and fatigue levels of individual human operators into job assignments, thereby improving scheduling-related performance measures compared to classical dispatching rules. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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The Coordination of Multi-Stage Discounts in a Dual Channel Fresh Agricultural Produce Supply Chain: Minimizing the Loss of Quantity and Quality

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Xiaojing Zheng

Sustainability 2022, 14(4), 2174; https://doi.org/10.3390/su14042174 - 14 Feb 2022

Cited by 3 | Viewed by 1338

Abstract

This paper explores the coordination of the agricultural cooperative to supermarket or E-commerce supply chain, under the condition of quantity loss with a mixed decay function of exponential and logistical distribution. The nature of this process is analyzed, and the corresponding demand and [...] Read more.

This paper explores the coordination of the agricultural cooperative to supermarket or E-commerce supply chain, under the condition of quantity loss with a mixed decay function of exponential and logistical distribution. The nature of this process is analyzed, and the corresponding demand and supply functions with single- and multi-stage discount strategies are constructed, respectively, to create a working model. The optimal discount ratios for supermarkets and agricultural cooperatives in decentralized and centralized decision-making modes coupled with single- and multi-stage discounts are calculated, respectively. Finally, a universal optimal strategy is designed, which can be applied to various quantity decay scenarios and makes the discount strategy more generalized. The results show that discounts can coordinate supply chains more effectively; not only would fresh agricultural produce be sold out before it starts to rot, but also the benefit conflicts arising from both supermarkets vs. cooperatives and traditional vs. E-commerce channels could be equilibrated. Further, multi-stage discounts are more difficult to coordinate than single-stage ones, the corresponding optimal discount ratios rely on the initial quantity of fresh agricultural produce in the supply chain, its market share in the traditional distribution channel, the potential market size, retail price, the price sensitivity coefficient of the channel, the cross-elasticity coefficient of prices between different channels, and the properties of the quantity loss. It is concluded that, regardless of what kind of quantity and quality loss occurs, whether decentralized or centralized decision making is selected, or whether the supermarket’s or agricultural cooperative’s discount ratio is considered, a universal price discount consisting of a fixed term and a drift term could both maximize supply chain profit and coordinate this dual-channel supply chain. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Risk Scenario Evaluation for Intelligent Ships by Mapping Hierarchical Holographic Modeling into Risk Filtering, Ranking and Management

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Wenjun Zhang

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Yingjun Zhang

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Weiliang Qiao

Sustainability 2022, 14(4), 2103; https://doi.org/10.3390/su14042103 - 12 Feb 2022

Cited by 1 | Viewed by 1230

Abstract

To identify and screen the risk scenarios for the navigation risk of intelligent ships, the analysis and evaluation of navigational risks were performed in this study. Risk scenarios were developed and evaluated by mapping the hierarchical holographic modeling (HHM) into risk filtering, ranking [...] Read more.

To identify and screen the risk scenarios for the navigation risk of intelligent ships, the analysis and evaluation of navigational risks were performed in this study. Risk scenarios were developed and evaluated by mapping the hierarchical holographic modeling (HHM) into risk filtering, ranking and management (RFRM). In detail, considering the insignificant influences of some factors on navigational activities, risk factors were filtered and ranked using the RFRM model. Seven final factors were successfully determined, including traffic flow, navigation environment understanding, ship–shore interaction capabilities, target recognition capabilities, communication equipment reliabilities, professional skills, and situation judgments. The results indicated that cargo security can be guaranteed by following navigational risk identification and screening steps, and thus our findings provide theoretical guidance for the dynamic management of maritime organizations and ship companies. In addition, the proposed methodology is desirable for making predictions on maritime traffic risks. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Strategic Turnaround in the Paper Industry: A New Model for the Procurement of Recycled Paper

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Golub V. Marković

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Marko M. Mihić

Sustainability 2022, 14(3), 1475; https://doi.org/10.3390/su14031475 - 27 Jan 2022

Cited by 1 | Viewed by 1920

Abstract

In recent decades, the paper industry has undergone many changes, making this industry more lucrative, “greener”, and thus more attractive. Today, recycled paper is a key raw material for paper production. However, this intense growth has also increased the number of market players, [...] Read more.

In recent decades, the paper industry has undergone many changes, making this industry more lucrative, “greener”, and thus more attractive. Today, recycled paper is a key raw material for paper production. However, this intense growth has also increased the number of market players, making competition more intense and dynamic and causing frequent turmoil. In such an environment, planning procurement and forecasting the price of recycled paper is a big challenge, even for highly experienced procurement managers. In addition, paper production itself is a dynamic process that requires all key grades of recycled paper to be available at all times. Accordingly, managing the optimal level of recycled paper stocks is also a difficult task faced by the procurement unit. The goal of this paper is to address these challenges by developing a new model for the sustainable procurement of recycled paper in the paper industry with the help of the principles of strategic management. Specifically, we aim to enhance our understanding of the factors driving the complexity of recycled paper procurement management. To this end, we conducted a comparative case study in four European companies. To build cases, we collected secondary data on the sampled companies as well as primary data from interviews with top executives at these companies. On the basis of the results from the comparative case study, we propose a new model for the procurement of recycled paper that helps increase the accuracy of forecasting price trends and by extension overall procurement performance. In a nutshell, this paper seeks to improve procurement processes by reducing the complexity of the enterprise procurement unit as well as by offering guidelines for the maintenance of optimal stock levels of recycled paper. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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The Disclosures of Information on Cybersecurity in Listed Companies in Latin America—Proposal for a Cybersecurity Disclosure Index

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Maricela Ramírez

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Lázaro Rodríguez Ariza

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María Elena Gómez Miranda

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Vartika

Sustainability 2022, 14(3), 1390; https://doi.org/10.3390/su14031390 - 26 Jan 2022

Cited by 1 | Viewed by 2713

Abstract

For the corporate sphere, cybersecurity becomes an inescapable business responsibility, and accountability becomes a way of providing trust and ensuring resilience against cyber risks and high-impact cyber threats. The purpose of this study was to create a disclosure index that allows analysis of [...] Read more.

For the corporate sphere, cybersecurity becomes an inescapable business responsibility, and accountability becomes a way of providing trust and ensuring resilience against cyber risks and high-impact cyber threats. The purpose of this study was to create a disclosure index that allows analysis of the scope of the disclosure of voluntary and mandatory cybersecurity information. The content analysis technique used focuses on the examination and identification of the cybersecurity information revealed in the annual reports and the 20 F annual forms of the companies with the highest stock market prices in Argentina, Brazil, Chile, Colombia, Mexico, and Peru during the period of 2016–2020. Longitudinal analysis indicates an increase over time in the disclosures and scope of information. The findings highlight that the country with the highest related disclosure is Argentina; the most extensive disclosures are due to the financial sector; and the strategy dimension represents the greatest weight in the index score. The study provides a novel instrument for measuring the content of disclosure on cybersecurity that is applicable in any specific context. In this case, the scope of disclosure in Latin America—a region which, according to our research, does not have previous studies on the subject—is evaluated. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Influence of Circular Saw Blade Design on Reducing Energy Consumption of a Circular Saw in the Cutting Process

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Appl. Sci. 2022, 12(3), 1276; https://doi.org/10.3390/app12031276 - 25 Jan 2022

Cited by 8 | Viewed by 3301

Abstract

Optimal cutting conditions, which lead to a high quality of the machined surface and low energy consumption, are crucial for wood processing. This paper describes the effect of feed speed, cutting speed and mean chip thickness on energy consumption and saw blade surface [...] Read more.

Optimal cutting conditions, which lead to a high quality of the machined surface and low energy consumption, are crucial for wood processing. This paper describes the effect of feed speed, cutting speed and mean chip thickness on energy consumption and saw blade surface temperature during the spruce (Picea excelsa) cutting process. In the experiment, the energy consumption and the surface temperature of the saw blades were measured to find the optimal cutting conditions for the energy-efficient cutting process. The surface temperature of the circular saw blade was monitored online using a non-contact infrared sensor connected directly to a PC via a USB connector. The results show that the cutting power and the surface temperature of the circular saw blade increased with increasing feed speed. The lowest values of cutting power were shown by the saw blade CSB3. Compared to the classic CSB1 circular saw blade, the values were lower by 8%. The surface temperature of the circular saw blade is highest at the outer edge (area of the heel of the teeth), and decreases towards the center of the circular saw blade. For an identical mean chip thickness, energy-efficient cutting was achieved at a feed speed of 21 m/min. There must be a trade-off between machine productivity and energy consumption. Monitoring the cutting process of circular saws using intelligent sensors is the way to adaptive control systems that ensure higher quality of the machined surface and cost-effective machining. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Open AccessArticle

The Analysis of Company Growth Determinants Based on Financial Statements of the European Companies

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Sustainability 2022, 14(2), 770; https://doi.org/10.3390/su14020770 - 11 Jan 2022

Cited by 5 | Viewed by 2148

Abstract

The primary aim of this paper is to determine the indicators that have an influence on the company growth in the field of agriculture, forestry, and fisheries during the six-year period (2014–2019). This sector is very important for sustainable development, bearing in mind [...] Read more.

The primary aim of this paper is to determine the indicators that have an influence on the company growth in the field of agriculture, forestry, and fisheries during the six-year period (2014–2019). This sector is very important for sustainable development, bearing in mind the need to preserve natural resources, i.e., land, water, plant, and animal resources. Sustainable development of this sector is of satisfactory technical-technological development, economically sustainable, and socially acceptable. The sample consists of 1333 observations of active companies on the European market. Multiple regression analysis was used in order to thoroughly analyze the variables of growth. The obtained results showed that company size has a negative impact on growth, while return on assets and leverage have a positive impact on growth. The impact of these variables was statistically significant. Along with the influence of observed determinants based on data from financial statements, the future growth and development of companies in this sector will certainly depend on the volume of investments, pricing policy, credit and natural conditions, agricultural policy measures, and adequate institutional support through the provision of financial support and encouragement of exports of products. Institutional incentives for more intensive integration of the agriculture, forestry, and fisheries sector are aimed at achieving the concept of integrated sustainable development. Full article

(This article belongs to the Topic Industrial Engineering and Management)

Open AccessReview

Condition-Based Monitoring and Maintenance: State of the Art Review

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Ahad Ali

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Abdelhakim Abdelhadi

Appl. Sci. 2022, 12(2), 688; https://doi.org/10.3390/app12020688 - 11 Jan 2022

Cited by 16 | Viewed by 4851

Abstract

Manufacturing firms face great pressure to reduce downtime as well as maintenance costs. Condition-based maintenance (CBM) can be used to effectively manage operations and maintenance by monitoring detailed machine health information. CBM policies and the development of the mathematical models have been growing [...] Read more.

Manufacturing firms face great pressure to reduce downtime as well as maintenance costs. Condition-based maintenance (CBM) can be used to effectively manage operations and maintenance by monitoring detailed machine health information. CBM policies and the development of the mathematical models have been growing recently. This paper provides a review of the theoretical and practical development in the field of condition-based maintenance and its current advancements. Standard CBM platform could make it effective and efficient in implementation and performance improvement. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Open AccessArticle

Application of Value Stream Mapping in E-Commerce: A Case Study on an Amazon Retailer

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Yanfang Qin

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Hongrui Liu

Sustainability 2022, 14(2), 713; https://doi.org/10.3390/su14020713 - 10 Jan 2022

Cited by 6 | Viewed by 11902

Abstract

In recent years, the e-commerce market has grown significantly, and the online retail market has become very competitive. Online retailers strive to improve their supply chain operations to reduce costs and to improve customer satisfaction. Value stream mapping (VSM), a tool created by [...] Read more.

In recent years, the e-commerce market has grown significantly, and the online retail market has become very competitive. Online retailers strive to improve their supply chain operations to reduce costs and to improve customer satisfaction. Value stream mapping (VSM), a tool created by the lean production movement to identify and reduce errors, losses, and lead time and to improve value-added activities, has been proven to be effective in many manufacturing processes. In this study, we investigate the application of value stream mapping (VSM) in the supply chain of an e-commerce retailer on Amazon. By visualizing the entire supply chain with VSM, the waste that is produced during the delivery process from the retailer to the customer was identified. The five whys method was then applied to find the root cause of the waste. Furthermore, a scoring method was developed to evaluate and compare two different supply chain logistic models to identify a strategy for improvement. This study provides a systematic methodology to understand, evaluate, and improve the entire e-commerce supply chain process utilizing VSM. It was demonstrated that the methodology could improve supply chain management efficiency, customer satisfaction, and cost reduction. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Open AccessArticle

A Study of Specific Open Innovation Issues from Perspectives of Open Source and Resources—The Series Cases of Tesla

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Jianan Wang

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Yuzhen Duan

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Guijian Liu

Sustainability 2022, 14(1), 142; https://doi.org/10.3390/su14010142 - 23 Dec 2021

Cited by 4 | Viewed by 8119

Abstract

It is difficult for enterprises to adapt to the rapidly developing market demand and increasingly intense competition by relying only on internal resources to carry out innovation activities. We identify three new issues for the Cross-Functional Consortium Families (CFCFs, CF²s) open [...] Read more.

It is difficult for enterprises to adapt to the rapidly developing market demand and increasingly intense competition by relying only on internal resources to carry out innovation activities. We identify three new issues for the Cross-Functional Consortium Families (CFCFs, CF²s) open innovation model based on a cooperating network: participation of large-scale high-tech enterprises (LHEs), impact from open source, and motivation of keeping resource independence. By studying the series cases of Tesla, Inc. (Austin, TX, USA) cooperating with small and medium enterprises (SMEs) through an open source CF² model, we examined and discussed these three issues and gave new connotations to both open innovation and the CF² model from perspectives of open source and resources. This paper also provides strategic reference for other LHEs to mitigate the dependency on key resources and generate new key resources accepted by the environment. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Open AccessArticle

Strategies for Improving the E-Waste Management Supply Chain Sustainability in Indonesia (Jakarta)

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Alfian Ferdiansyah Madsuha

Sustainability 2021, 13(24), 13955; https://doi.org/10.3390/su132413955 - 17 Dec 2021

Cited by 8 | Viewed by 3141

Abstract

Electronic waste (e-waste) has become one of the fastest-growing waste streams in the world. However, only 17.4% of it can be collected and recycled in 2019. This study aims to formulate strategies to improve the supply chain of e-waste management in Indonesia. Methods [...] Read more.

Electronic waste (e-waste) has become one of the fastest-growing waste streams in the world. However, only 17.4% of it can be collected and recycled in 2019. This study aims to formulate strategies to improve the supply chain of e-waste management in Indonesia. Methods used to develop strategies in this study are the Decision-Making Trial and Evaluation Laboratory (DEMATEL), the Analytical Network Process (ANP), Strength–Weaknesses–Opportunities–Threats (SWOT), and the Quantitative Strategic Planning Matrix (QSPM). The results show that infrastructure criteria have the largest weight, that is 0.267, followed by a social environment with 0.261, regulation with 0.244, stakeholder with 0.122, and economy with 0.054. The top priority of the selected strategies is to improve public education (ST1) and provide socialization of regulations and sanctions to the public (ST2). Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Open AccessArticle

Effects of Pause Design on the Decline in Pulling Effort and the Evaluation of Perceived Effort in Pulling Tasks

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Appl. Sci. 2021, 11(24), 12022; https://doi.org/10.3390/app112412022 - 17 Dec 2021

Cited by 1 | Viewed by 1286

Abstract

Pulling is one of the manual material handling activities that could lead to work-related musculoskeletal disorders. The objectives of this study were to explore the development of muscular fatigue when performing intermittent pulling tasks and to establish models to predict the pull strength [...] Read more.

Pulling is one of the manual material handling activities that could lead to work-related musculoskeletal disorders. The objectives of this study were to explore the development of muscular fatigue when performing intermittent pulling tasks and to establish models to predict the pull strength decrease due to performing the tasks. A simulated truck pulling experiment was conducted. Eleven healthy male adults participated. The participants pulled a handle with a load of 40 kg, which resulted in a pulling force of approximately 123 N. The pulling tasks lasted for 9 or 12 min with one, two, or three pauses embedded. The total time period of the embedded pauses was 3 min. The pull strength after each pull and rest was measured. Ratings of the perceived exertion on body parts after each pull were also recorded. The results showed insignificant differences regarding the development of muscular fatigue related to rest frequency. We found that the development of muscular fatigue for pulling tasks with embedded pauses was significantly slower than that for continuous pulls. The forearm had a higher CR-10 score than the other body parts indicating that the forearm was the body part suffering early muscle fatigue. An exponential model was developed to predict the pull strength of the pulling tasks with embedded pauses. This model may be used to assess the developing of muscular fatigue for pulling tasks. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Open AccessArticle

Sustainability Performance Evaluation of Faceshield Bracket Manufacturing by Using the Analytic Hierarchy Process

by

Getasew Taddese

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Severine Durieux

and

Emmanuel Duc

Sustainability 2021, 13(24), 13883; https://doi.org/10.3390/su132413883 - 15 Dec 2021

Cited by 5 | Viewed by 1770

Abstract

Faceshield brackets were among highly relevant products manufactured in various workshops, including Sigma Clermont, during the outbreak of COVID-19 to tackle acute shortages of personal protective equipment. However, many of these products are yet to be checked for appropriateness in design, quality, safety, [...] Read more.

Faceshield brackets were among highly relevant products manufactured in various workshops, including Sigma Clermont, during the outbreak of COVID-19 to tackle acute shortages of personal protective equipment. However, many of these products are yet to be checked for appropriateness in design, quality, safety, comfort, and overall sustainability performance which might lead to unknown damages to human health and the environment. Thus, the main objective of this study is to evaluate the sustainable performance of Faceshield bracket manufacturing. Appropriate data are collected from designers, machine operators, and supplementary data are utilized from experts’ opinions and literature. A total of 38 carefully selected indicator sets are utilized while applying multicriteria decision-making methodology (MCDM) of the analytic hierarchy process (AHP) to evaluate the sustainability performance of these manufacturing processes. Evaluation is performed to examine the processes’ sustainability performance and associated indicator contribution based on the three dimensions. Results disclosed that 3D printing (score = 0.108) showed better performance for the environment, and injection molding showed better economic and social performance, with scores of 0.1922 and 0.160, respectively. A detailed contribution of each subcriteria for each sustainability dimension and each of the three processes as well as major contributing indicators are identified and discussed. Finally, overall performance was assessed using the total sum approach, and Borda count methodology and injection molding showed better sustainability performance in the manufacturing of Faceshield brackets considered with scores of 43 and 87, respectively. The authors believe that indicator selection approaches and overall methodology followed for this study will be relevant for future sustainability evaluation of engineering products. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Open AccessArticle

Examining Emotional Labor in COVID-19 through the Lens of Self-Efficacy

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Lixia Yao

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Jie Gao

Sustainability 2021, 13(24), 13674; https://doi.org/10.3390/su132413674 - 10 Dec 2021

Cited by 5 | Viewed by 2399

Abstract

The ongoing COVID-19 pandemic has dealt a significant blow to the restaurant industry, with many restaurants suspending operations or closing altogether. This study was aimed to investigate the effects of emotional labor on employees’ well-being and the mediating role of self-efficacy in the [...] Read more.

The ongoing COVID-19 pandemic has dealt a significant blow to the restaurant industry, with many restaurants suspending operations or closing altogether. This study was aimed to investigate the effects of emotional labor on employees’ well-being and the mediating role of self-efficacy in the context of chain restaurants. Data were collected in 2020 through an online survey in China, and results revealed that emotional labor had a significant impact on well-being that was measured in life and job satisfaction. Self-efficacy not only had a significant positive impact on employees’ job- and life-related well-being but also played a fully mediating role between deep acting and life satisfaction, with a partial mediating role between deep acting and job satisfaction. Job-related well-being also played a fully mediating role between deep acting and life satisfaction, with a partial mediating role between deep acting and job satisfaction. It is important for restaurant employees to develop deep acting skills and improve self-efficacy and job satisfaction Restaurant managers must establish a healthy working environment by providing better job support and creating a more relaxed working atmosphere. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Open AccessArticle

Vacuum Leak Detection Method Using Index Regression and Correction for Semiconductor Equipment in a Vacuum Chamber

by

Taekyung Ha

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Hyunjung Shin

Appl. Sci. 2021, 11(24), 11762; https://doi.org/10.3390/app112411762 - 10 Dec 2021

Cited by 2 | Viewed by 2680

Abstract

In semiconductor manufacturing, fault detection is an important method for monitoring equipment condition and examining the potential causes of a fault. Vacuum leakage is considered one of the major faults that can occur in semiconductor processing. An unnecessary O₂ and N₂ [...] Read more.

In semiconductor manufacturing, fault detection is an important method for monitoring equipment condition and examining the potential causes of a fault. Vacuum leakage is considered one of the major faults that can occur in semiconductor processing. An unnecessary O₂ and N₂ mixture, a major component of the atmosphere, creates unexpected process results and hence drops in yield. Vacuum leak detection systems that are currently available in the vacuum industry are based on helium mass spectrometers. They are used for detecting the vacuum leakage at the sole isolation condition where the chamber is fully pumped but cannot be used for in situ detection while the process is ongoing in the chamber. In this article, a chamber vacuum leak detection method named Index Regression and Correction (IRC) is presented, utilizing common data which were gathered during normal chamber operation. This method was developed by analyzing a simple list of data, such as pressure, the temperature of the chamber body, and the position of the auto pressure control (APC), to detect any leakages in the vacuum chamber. The proposed method was experimentally verified and the results showed a high accuracy of up to 97% when a vacuum leak was initiated in the chamber. The proposed method is expected to improve the process yield of the chamber by detecting even small vacuum leakages at very early stages of the process. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Open AccessArticle

On Comparing Cross-Validated Forecasting Models with a Novel Fuzzy-TOPSIS Metric: A COVID-19 Case Study

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Dalton Garcia Borges de Souza

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Erivelton Antonio dos Santos

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Francisco Tarcísio Alves Júnior

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Mariá Cristina Vasconcelos Nascimento

Sustainability 2021, 13(24), 13599; https://doi.org/10.3390/su132413599 - 09 Dec 2021

Cited by 4 | Viewed by 1639

Abstract

Time series cross-validation is a technique to select forecasting models. Despite the sophistication of cross-validation over single test/training splits, traditional and independent metrics, such as Mean Absolute Error (MAE) and Root Mean Square Error (RMSE), are commonly used to assess the model’s accuracy. [...] Read more.

Time series cross-validation is a technique to select forecasting models. Despite the sophistication of cross-validation over single test/training splits, traditional and independent metrics, such as Mean Absolute Error (MAE) and Root Mean Square Error (RMSE), are commonly used to assess the model’s accuracy. However, what if decision-makers have different models fitting expectations to each moment of a time series? What if the precision of the forecasted values is also important? This is the case of predicting COVID-19 in Amapá, a Brazilian state in the Amazon rainforest. Due to the lack of hospital capacities, a model that promptly and precisely responds to notable ups and downs in the number of cases may be more desired than average models that only have good performances in more frequent and calm circumstances. In line with this, this paper proposes a hybridization of the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and fuzzy sets to create a similarity metric, the closeness coefficient (CC), that enables relative comparisons of forecasting models under heterogeneous fitting expectations and also considers volatility in the predictions. We present a case study using three parametric and three machine learning models commonly used to forecast COVID-19 numbers. The results indicate that the introduced fuzzy similarity metric is a more informative performance assessment metric, especially when using time series cross-validation. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Open AccessArticle

On the Subrange and Its Application to the R-Chart

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Appl. Sci. 2021, 11(24), 11632; https://doi.org/10.3390/app112411632 - 08 Dec 2021

Viewed by 1620

Abstract

The conventional sample range is widely used for the construction of an R-chart. In an R-chart, the sample range estimates the standard deviation, especially in the case of a small sample size. It is well known that the performance of the sample range [...] Read more.

The conventional sample range is widely used for the construction of an R-chart. In an R-chart, the sample range estimates the standard deviation, especially in the case of a small sample size. It is well known that the performance of the sample range degrades in the case of a large sample size. In this paper, we investigate the sample subrange as an alternative to the range. This subrange includes the range as a special case. We recognize that we can improve the performance of estimating the standard deviation by using the subrange, especially in the case of a large sample size. Note that the original sample range is biased. Thus, the correction factor is used to make it unbiased. Likewise, the original subrange is also biased. In this paper, we provide the correction factor for the subrange. To compare the sample subranges with different trims to the conventional sample range or the sample standard deviation, we provide the theoretical relative efficiency and its values, which can be used to select the best trim of the subrange with the sense of maximizing the relative efficiency. For a practical guideline, we also provide a simple formula for the best trim amount, which is obtained by the least-squares method. It is worth noting that the breakdown point of the conventional sample range is always zero, while that of the sample subrange increases proportionally to a trim amount. As an application of the proposed method, we illustrate how to incorporate it into the construction of the R-chart. Full article

(This article belongs to the Topic Industrial Engineering and Management)

Open AccessArticle

Quality Study on Vehicle Heat Ventilation and Air Conditioning Failure

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Dina Diga

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Irina Severin

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Nicoleta Daniela Ignat

Sustainability 2021, 13(23), 13441; https://doi.org/10.3390/su132313441 - 04 Dec 2021

Cited by 1 | Viewed by 1795

Abstract

The automotive industry has set a highly demanding standard to meet customer satisfaction. The paper aimed to detail how quality analysis has been conducted to state the main causes that generated nonconformities of heat, ventilation and air conditioning (HVAC) systems. Problems have been [...] Read more.

The automotive industry has set a highly demanding standard to meet customer satisfaction. The paper aimed to detail how quality analysis has been conducted to state the main causes that generated nonconformities of heat, ventilation and air conditioning (HVAC) systems. Problems have been reported on HVAC systems, such as noise, not being cold enough and moldy smell issues. All three problems determined by customer reports initiated the first contribution of this paper, namely by an initial quality study, and generated the investigation using is/is not problem scoping, data analysis, and graphical analysis. Pareto analysis and the Plan, Do, Check and Act (PDCA) approach are used to highlight the traceability of the actions performed in the evaluation of the problems and the detection of the causes related to each problem. The data analysis process and the data obtained from the analysis are the core of this paper. An immediate action plan is proposed, concluding with the hypothesis that the root cause is the blockage of the heater. This methodology has significant potential for being implemented, even for other components in the same industry or different sectors. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Open AccessArticle

Green Taxation Promotes the Intelligent Transformation of Chinese Manufacturing Enterprises: Tax Leverage Theory

by

Longzhen Yu

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Jianhua Zhu

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Zhixian Wang

Sustainability 2021, 13(23), 13321; https://doi.org/10.3390/su132313321 - 01 Dec 2021

Cited by 6 | Viewed by 1488

Abstract

A key issue that concerns governments is how to formulate optimal technology subsidies and green tax standards to promote the intelligent transformation of manufacturing enterprises. In this work, the Pollutant Emission Indicator Trading Mechanism (PEITM) is proposed, and green taxes are divided into [...] Read more.

A key issue that concerns governments is how to formulate optimal technology subsidies and green tax standards to promote the intelligent transformation of manufacturing enterprises. In this work, the Pollutant Emission Indicator Trading Mechanism (PEITM) is proposed, and green taxes are divided into Tax of Pollutant Emissions (TPE) and the Tax of Excess Pollutant Emissions (TEPE). On this basis, we study the impact of green taxes and technology subsidies on the intelligent transformation of enterprises in different manufacturing environments from the government’s perspective and provide the optimal government subsidy scheme under different green tax policies. Although it seems counter-intuitive, enterprises’ usual responses to increases in TPE and TEPE are non-monotonic. Moreover, we find a threshold effect for the government’s green taxation. Blindly increasing or reducing taxes may not promote intelligent transformation, but instead force enterprises towards negative choices. Lastly, an effective measure for the government to promote the intelligent transformation of manufacturing enterprises is proposed: by properly adjusting TPE and TEPE, governments can produce more cost-effective intelligent products than ordinary ones. Consequently, intelligent products will sell better than ordinary products, and manufacturing enterprises will be able to consciously carry out intelligent transformation to remain viable. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Open AccessArticle

Organizational Strategies and Their Impact on Employee Commitment during the Health Emergency

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Cecilia Ramos-Estrada

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María Teresa de la Garza Carranza

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Jorge Armando López-Lemus

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Quetzalli Atlatenco-Ibarra

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Edgar René Vázquez-González

Sustainability 2021, 13(23), 13089; https://doi.org/10.3390/su132313089 - 26 Nov 2021

Cited by 2 | Viewed by 1638

Abstract

The emergence of a new coronavirus that causes COVID-19 has generated multiple consequences that have affected the lives of all human beings, imposing a new normal where social distancing and mobility restrictions have become the norm. This situation has also affected organizations forcing [...] Read more.

The emergence of a new coronavirus that causes COVID-19 has generated multiple consequences that have affected the lives of all human beings, imposing a new normal where social distancing and mobility restrictions have become the norm. This situation has also affected organizations forcing them to create or strengthen strategies to respond to the situation to guarantee their survival and growth, which has made it essential to have full commitment from employees. Structural equations were used to design an instrument that was used with managers and middle managers at 130 Mexican companies. Once reliability and validity were tested and confirmed, the study found that there is a positive and significant relation between organizational strategies applied during the health emergency and employee commitment with the organization. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Open AccessArticle

Operating of Gasoline Engine Using Naphtha and Octane Boosters from Waste as Fuel Additives

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Sustainability 2021, 13(23), 13019; https://doi.org/10.3390/su132313019 - 24 Nov 2021

Cited by 3 | Viewed by 1850

Abstract

Fuel quality is an important indicator for the suitability of alternative fuel for the utilization in internal combustion (IC) engines. In this paper, light naphtha and fusel oil have been introduced as fuel additives for local low octane gasoline to operate a spark [...] Read more.

Fuel quality is an important indicator for the suitability of alternative fuel for the utilization in internal combustion (IC) engines. In this paper, light naphtha and fusel oil have been introduced as fuel additives for local low octane gasoline to operate a spark ignition (SI) engine. Investigated fuel samples have been prepared based on volume and denoted as GN10 (90% local gasoline and 10% naphtha), GF10 (90% local gasoline and 10% fusel oil), and GN5F5 (90% local gasoline, 5% naphtha and 5% fusel oil) in addition to G100 (Pure local gasoline). Engine tests have been conducted to evaluate engine performance and exhaust emissions at increasing speed and constant wide throttle opening (WTO). The study results reveal varying engine performance obtained with GN10 and GF10 with increasing engine speed compared to local gasoline fuel (G). Moreover, GN5F5 shows higher brake power, lower brake specific fuel consumption, and higher brake thermal efficiency compared to other investigated fuel samples over the whole engine speed. The higher CO and CO₂ emissions were obtained with GN10 and GF10, respectively, over the entire engine speed and the minimum CO emissions observed with GN5F5. Moreover, the higher NO_x emission was observed with pure local gasoline while the lowest was observed with GF10. On the other hand, GN5F5 shows slightly higher NO_x emissions than GF10, which is lower than GN10 and gasoline. Accordingly, GN5F5 shows better engine performance and exhaust emissions, which can enhance the local low gasoline fuel quality using the locally available fuel additives. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Open AccessArticle

Evaluation of Manual Skill Degradation Due to Automation in Apparel Manufacturing

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Zahid Rashid

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Matthias Rötting

Appl. Sci. 2021, 11(23), 11098; https://doi.org/10.3390/app112311098 - 23 Nov 2021

Viewed by 1638

Abstract

Manual skill degradation is a common problem that production managers face in assembly lines due to frequent changes in batch styles. Since the advancement in automated machinery, reliance on manual machines has been reduced. However, due to the high cost of fully automated [...] Read more.

Manual skill degradation is a common problem that production managers face in assembly lines due to frequent changes in batch styles. Since the advancement in automated machinery, reliance on manual machines has been reduced. However, due to the high cost of fully automated machinery, it is still not available on a large scale in apparel manufacturing setups as most of the setups are in developing countries. Few related studies regarding the effects of automation on manual skills have been conducted in aviation and other emerging technological advanced fields; little focus was given on the effects of automation in apparel manufacturing. This exploratory study examines automation-induced performance degradation in the apparel production line. Sixty-seven sewing machine operators were initially trained on manual sewing machines to learn a complex production operation. Then, participants were divided randomly into three groups to experience varied amount of automation exposure. The manual machine group (MMG)kept working on the manual machines after the initial training and skill development. In contrast, the automation group (AG) shifted to automated pocket setting machines after skill development. Finally, the refresher training group (RTG) rotated between manual and automated machines after the skill development. The skill retrieval assessment was carried out after six weeks in the production line. The result of an independent t-test showed no significant differences among performances of the three groups after the initial training stage. A significant increase in the average single cycle time (ASCT) and decrease in the right-first-time percent (RFT %) was found in the AG while the ASCT decreased and the RFT% increased among the MMG after the retention interval. The RTG almost maintained its production output and the ASCT due to refresher training drills. Relevance to industry: Production managers usually maintain a skill set among the operators to run the production line smoothly. Therefore, capacity development drills of sewing operators are essential to maintain an efficient required skill set. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Open AccessArticle

Supply Chain Replenishment Decision for Newsvendor Products with Multiple Periods and a Short Life Cycle

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Chun-Chin Wei

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Liang-Tu Chen

Sustainability 2021, 13(22), 12777; https://doi.org/10.3390/su132212777 - 18 Nov 2021

Viewed by 1426

Abstract

Traditionally, the newsvendor problem is a single-period model for a retailer and can be applied in the replenishment decision for a product with a short life cycle. However, many fashionable commodities are seasonal; not all of these products must be sold within a [...] Read more.

Traditionally, the newsvendor problem is a single-period model for a retailer and can be applied in the replenishment decision for a product with a short life cycle. However, many fashionable commodities are seasonal; not all of these products must be sold within a single period of a selling season, and they can be replenished once in each cycle. This study develops a novel multi-period model to determine multiple ordering replenishment decisions for a product over a short selling season. This study not only demonstrates the profit function for a retailer, but also provides those for both the manufacturer and the entire channel in a supply chain problem. The proposed multi-period ordering model provides explicit insights into how the ordering decisions of the retailer are affected in a specific period by considering unsold inventory or unsatisfied demand from a previous period. A numerical analysis and the simulation results illustrate the feasibility of the proposed model. Full article

(This article belongs to the Topic Industrial Engineering and Management)

Open AccessArticle

Can the “VUCA Meter” Augment the Traditional Project Risk Identification Process? A Case Study

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Thordur Vikingur Fridgeirsson

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Helgi Thor Ingason

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Svana Helen Björnsdottir

and

Agnes Yr Gunnarsdottir

Sustainability 2021, 13(22), 12769; https://doi.org/10.3390/su132212769 - 18 Nov 2021

Cited by 2 | Viewed by 1936

Abstract

In this rapidly changing and fast-growing world, sustainability is an important paradigm. However, the constantly growing level of uncertainty leads to increased strain in decision making. This results in a growing need for a more effective and extensive approach for identifying project risk [...] Read more.

In this rapidly changing and fast-growing world, sustainability is an important paradigm. However, the constantly growing level of uncertainty leads to increased strain in decision making. This results in a growing need for a more effective and extensive approach for identifying project risk in particular events that are not easily detected but can have a severe impact, sometimes referred to as Black Swans or “fat tail” events. The VUCA meter is a normative approach to identify project risk by assessing in a structured way events that may be volatile, uncertain, complex, and ambiguous and might contribute to the project risk. In this study, the VUCA meter is benchmarked against a traditional risk identification process as recommended by PMI^®. Firstly, two workshops, each referring to the respective risk identification method, were conducted. Secondly, a Delphi survey was run to investigate if the VUCA meter would capture Black Swan risk events that are bypassed by the traditional risk identification approach. The results clearly indicate that the VUCA meter can be developed to be a significant addition to the conventional risk identification process for large projects that are at an early stage. The VUCA meter facilitates a discussion that gets people to think beyond the traditional framework for identifying project risk factors. As a consequence, “fat tail” events, that are not apprehended with the conventional technique, are captured by the VUCA meter. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Open AccessArticle

The Development of an Efficiency-Based Global Green Manufacturing Innovation Index: An Input-Oriented DEA Approach

by

Hisham Alidrisi

Sustainability 2021, 13(22), 12697; https://doi.org/10.3390/su132212697 - 17 Nov 2021

Cited by 5 | Viewed by 1857

Abstract

Innovation-based economic growth is considered to be a vital strategic aim for all economies, but environmentally friendly concepts and sustainable development (SD) must also be considered. The literature on the Global Innovation Index (GII) shows various investigations relevant to innovation, yet the lack [...] Read more.

Innovation-based economic growth is considered to be a vital strategic aim for all economies, but environmentally friendly concepts and sustainable development (SD) must also be considered. The literature on the Global Innovation Index (GII) shows various investigations relevant to innovation, yet the lack of comprehensive consideration within the GII of environmental concerns represents a critical challenge. This paper aims to provide a holistic-perspective evaluation model for the top 15 manufacturing countries worldwide in order to resolve this. The efficiency-based Global Green Manufacturing Innovation Index (GGMII) was developed by formulating an input-oriented data envelopment analysis model. Criteria such as the value added to the gross domestic product (GDP), corresponding CO₂ emissions, and unemployment rates were examined in order to represent the economic, environmental, and social dimensions of SD, respectively. Other scientific and technological dimensions were also considered. The data corresponding to all ten of the criteria were collected from World Bank Open Data. The results show a mismatch between the original GII and the proposed GGMII for the top eight manufacturing countries (the United States, the United Kingdom, Germany, Korea, France, China, Japan, and Canada), while the remaining countries (Italy, Spain, Russia, India, Mexico, Brazil, and Indonesia) occupied the same rank in both indices, but showed a sizable diminution in their original GII scores. The proposed GGMII might be utilized as a benchmarking instrument for all countries worldwide in the future. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Open AccessArticle

Circular Economy as a Catalyst for Progress towards the Sustainable Development Goals: A Positive Relationship between Two Self-Sufficient Variables

by

Juan-Manuel Valverde

and

Carmen Avilés-Palacios

Sustainability 2021, 13(22), 12652; https://doi.org/10.3390/su132212652 - 16 Nov 2021

Cited by 13 | Viewed by 3036

Abstract

Governments, civil society organisations and companies have expressed an interest in contributing to the achievement of the Sustainable Development Goals, but incorporating these goals into their strategies and activities is not an easy task. This study aims to provide information on the role [...] Read more.

Governments, civil society organisations and companies have expressed an interest in contributing to the achievement of the Sustainable Development Goals, but incorporating these goals into their strategies and activities is not an easy task. This study aims to provide information on the role of circular economy as a tool to boost progress towards the Sustainable Development Goals to assist these different stakeholders in their quest to attain the goals. Using heuristic methodology, a review of the existing literature was conducted to explore the relationship between the two terms. Specific attention was paid to the development goals with the highest interdependence with circular economy: Sustainable Development Goal 6 (Clean Water), 8 (Decent work), 12 (Responsible consumption and production) and 15 (Life on land). Having identified the reciprocal relationships between the two variables, the results of the literature review were then analysed to explore their possible self-sufficiency. The findings of the study are intended to assist stakeholders in incorporating the SDGs into their corporate sustainability strategies. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Open AccessArticle

Will Internet Market Newness Improve Performance? An Empirical Study on the Internet Market Innovation of Offline Retailers in China

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Sustainability 2021, 13(22), 12619; https://doi.org/10.3390/su132212619 - 15 Nov 2021

Cited by 2 | Viewed by 1385

Abstract

With the increasing impact of the Internet, the transformation of traditional retailers through Internet innovation has become a pressing issue. Based on the theory of innovation and marketing capability, this study investigated the relationships among adaptive marketing capability (AMC), Internet market newness, and [...] Read more.

With the increasing impact of the Internet, the transformation of traditional retailers through Internet innovation has become a pressing issue. Based on the theory of innovation and marketing capability, this study investigated the relationships among adaptive marketing capability (AMC), Internet market newness, and innovation performance. The mediation effect of compromise on these relationships was also investigated. Through data analysis of 205 questionnaires in China, the current study confirmed that interaction between AMC and Internet market newness significantly affected innovation performance, and Internet market newness positively affected performance only when AMC was high. The results also demonstrated that compromise mediated the interaction with performance. AMC moderated not only the direct effects on performance by Internet market newness, but the effects on compromise by Internet market newness. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Open AccessArticle

Finding Targets in Non-Radial FDH Models: A Hybrid Technique Based on STEM and Extended Ratio Based Approach

by

Mehdi Abbasi

,

Mohammad Reza Mozaffari

,

Peter F. Wanke

and

Mohamad Amin Kaviani

Appl. Sci. 2021, 11(22), 10626; https://doi.org/10.3390/app112210626 - 11 Nov 2021

Viewed by 1124

Abstract

Performance evaluation using interactive methods and extended ratio-based approaches can be very important for some organizations. Free disposal hull models can be created if there is no concern for convexity, and using non-radial DEA models can simultaneously create more logical and practical situations [...] Read more.

Performance evaluation using interactive methods and extended ratio-based approaches can be very important for some organizations. Free disposal hull models can be created if there is no concern for convexity, and using non-radial DEA models can simultaneously create more logical and practical situations for finding DMU targets. In this paper, a new hybrid technique based on the additive slack based method and enhanced Russel measure in variable return to scale technology has been proposed. The proposed technique can find decision making unit targets in non-radial free disposal hull models using the step method. Furthermore, the extended ratio-based approach in the proposed technique has been applied to find DMU targets of related non-radial free disposal hull models without solving any mathematical programming models. Finally, targets of Fars province pharmaceutical distributing companies were found by applying the proposed hybrid technique. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Open AccessArticle

Techno-Economic Assessment of Fuel Cycle Facility of System Integrated Modular Advanced Reactor (SMART)

by

Salah Ud-Din Khan

,

Zeyad Almutairi

and

Meshari Alanazi

Sustainability 2021, 13(21), 11815; https://doi.org/10.3390/su132111815 - 26 Oct 2021

Cited by 3 | Viewed by 1507

Abstract

The economic assessment of advanced nuclear power reactors is very important, specifically during the early stages of concept design. Therefore, a study was performed to calculate the total cost estimation of fuel cycle supply for a system modular advanced reactor (SMART) by using [...] Read more.

The economic assessment of advanced nuclear power reactors is very important, specifically during the early stages of concept design. Therefore, a study was performed to calculate the total cost estimation of fuel cycle supply for a system modular advanced reactor (SMART) by using the Generation-IV economic program called G4-ECONS (Generation 4 Excel-based Calculation of Nuclear Systems). In this study, the detailed description of each model and methodology are presented including facility, operations, construction matrix, post-production model, and fuel cycle cost estimation model. Based on these models, six Generation-III+ and Generation-IV nuclear reactors were simulated, namely System 80+ with benchmark data, System 80+ with uranium oxide (UOx) and mixed oxide (MOx) fuel assemblies, fast reactor, PBMR (Pebble Bed Modular Reactor), and PWR (Pressurized Water Reactor), with partially closed and benchmarked cases. The total levelized costs of these reactors were obtained, and it was observed that PBMR showed the lowest cost. The research was extended to work on the SMART reactor to calculate the total levelized fuel cycle cost, capital cost, capital component cost, fraction of capital spent, and sine curve spent pattern. To date, no work is being reported to calculate these parameters for the SMART reactor. It was observed that SMART is the most cost-effective reactor system among other proven and advanced pressurized water-based reactor systems. The main objective of the research is to verify and validate the G4-ECONS model to be used for other innovative nuclear reactors. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Open AccessSystematic Review

MCDM-Based R&D Project Selection: A Systematic Literature Review

by

Dalton Garcia Borges de Souza

,

Erivelton Antonio dos Santos

,

Nei Yoshihiro Soma

and

Carlos Eduardo Sanches da Silva

Sustainability 2021, 13(21), 11626; https://doi.org/10.3390/su132111626 - 21 Oct 2021

Cited by 7 | Viewed by 2742

Abstract

From small spin-offs deploying innovative software to big pharmaceutical complexes making vaccines, Research and Development (R&D) Project Portfolio Selection (PPS) is an essential strategic process for various companies. It was never easy to select a set of projects among many feasible possibilities, even [...] Read more.

From small spin-offs deploying innovative software to big pharmaceutical complexes making vaccines, Research and Development (R&D) Project Portfolio Selection (PPS) is an essential strategic process for various companies. It was never easy to select a set of projects among many feasible possibilities, even for yesterday’s paces. However, the world is rapidly changing, and so is R&D PPS. The portfolio objectives excel profit in the same manner that model constraints go beyond budget limitations. In parallel, project selection approaches and solving algorithms followed the increase of computational power. Despite all those changes, the importance of Multi-Criteria Decision Making (MCDM) methods and the decision criteria used for R&D PPS, there is still room for a systematic literature review (SLR) for the topic. Thus, this paper offers an SLR of the existing literature from the half-century, 1970, and onward MCDM-based R&D PPS performed in Scopus and Web of Science Core Collection. We provide a comprehensive picture of this field, show how it is changing, and highlight standard practices and research opportunities in the area. We perform a broad classification of the MCDM methods, categorized by the nature of alternatives, types of integration approach, the MCDM method itself, and types of uncertainty, by the 66 studies in the SLR database. The portfolios’ classification obeys the application domain and the number of projects. We have also explored all the 263 criteria found in the literature by grouping them according to experts from five Brazilian R&D organizations that together manage portfolios valued around US$ 5 billion a year, accounting for 38% of all Brazilian annual expenditure in R&D projects. We also include a bibliometric analysis of the considered papers and research opportunities highlighted or not explored by researchers. Given the increasing number of decision-making approaches and new technologies available, we hope to provide guidance on the topic and promote knowledge production and growth concerning the usage of MCDM methods and decision criteria in R&D PPS. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Open AccessArticle

Research on the Collaborative Evolution of Blockchain Industry Ecosystems in Terms of Value Co-Creation

by

Hui Zhang

,

Jin-Biao Yi

and

Qian Wang

Sustainability 2021, 13(21), 11567; https://doi.org/10.3390/su132111567 - 20 Oct 2021

Cited by 4 | Viewed by 1561

Abstract

The formation of blockchain industrial ecology can help improve the open and efficient value synergy network, and this paper seeks to clarify the value relationship among industrial units and the trend of synergistic evolution of blockchain industrial ecosystem. Based on value co-creation theory, [...] Read more.

The formation of blockchain industrial ecology can help improve the open and efficient value synergy network, and this paper seeks to clarify the value relationship among industrial units and the trend of synergistic evolution of blockchain industrial ecosystem. Based on value co-creation theory, the blockchain industrial ecosystem synergy evolution process is analyzed, and the composite system synergy model is used to empirically investigate the evolution synergy of China’s blockchain industrial ecosystem from 2015 to 2020. The results show that: although the development level of China’s blockchain industry ecosystem continues to improve, it is still at a low level, and the policy-driven effect is obvious. There is a large disparity in the orderliness level of each subsystem of the blockchain industry ecosystem, and the industrial integration and application implementation are in a good situation, while the blockchain enterprises, located in the value pivot subsystem, are in a relatively tough position, and China’s blockchain industry ecosystem is overall in a state of reconciliation and has not yet formed a synergistic effect. Handling the synergistic relationship between the government, the market and other value-supporting units, and blockchain enterprises is the top priority for further promoting the synergistic evolution of the blockchain industry ecosystem. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Open AccessArticle

DEA-Based PROMETHEE II Distribution-Center Productivity Model: Evaluation and Location Strategies Formulation

by

Hisham Alidrisi

Appl. Sci. 2021, 11(20), 9567; https://doi.org/10.3390/app11209567 - 14 Oct 2021

Cited by 8 | Viewed by 1821

Abstract

The current era of industrial economics necessitates warehouse and logistic distribution centers (DCs) to contribute productively toward an organization’s success. Playing such a critical productive role implies that logistics activities must be practiced effectively and efficiently. However, the indistinguishability between effectiveness and efficiency [...] Read more.

The current era of industrial economics necessitates warehouse and logistic distribution centers (DCs) to contribute productively toward an organization’s success. Playing such a critical productive role implies that logistics activities must be practiced effectively and efficiently. However, the indistinguishability between effectiveness and efficiency leads to a somewhat shallow interpretation, and consequently, a diluted evaluation. Hence, this paper aims to develop a productivity evaluation model for nine DCs belonging to an international automotive vehicles and spare parts company. The developed model was set up based on two multi-criteria decision making (MCDM) approaches: the Preference Ranking Organization Method for Enrichment of Evaluations II (PROMETHEE II) and data envelopment analysis (DEA). PROMETHEE II was employed to evaluate the effectiveness, while the DEA was utilized in order to measure the efficiency of the investigated DCs. The resulting hybrid model collectively creates what can conceptually and practically be considered a productivity evaluation model. The results also provide six different strategies through which distribution center locations can be evaluated in order to implement potential future initiatives. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Open AccessArticle

A Study on Soot and Ash Accumulation Characteristics of Diesel Particulate Filter Substrate Using Nondestructive Computed Radiography X-ray Imaging Technique

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Appl. Sci. 2021, 11(20), 9483; https://doi.org/10.3390/app11209483 - 13 Oct 2021

Viewed by 1936

Abstract

The diesel particulate filter of a diesel engine is an after-treatment device that removes particulate matter from exhaust emissions by filtering and oxidating them through a regeneration process. When the diesel particulate filter is damaged, a vehicle inspection is usually performed; if the [...] Read more.

The diesel particulate filter of a diesel engine is an after-treatment device that removes particulate matter from exhaust emissions by filtering and oxidating them through a regeneration process. When the diesel particulate filter is damaged, a vehicle inspection is usually performed; if the cause is not found through using on-board diagnostics, then the diesel particulate filter is removed, and a visual test is conducted. However, it is not easy to find the exact cause of the diesel particulate filter being damaged, and a visual test takes a long time as the diesel particulate filter substrate is covered by a canister. In this study, using the computed radiography X-ray imaging technique, X-ray images were taken after placing an accumulated amount of carbon powder, similar to soot and ash powder in the substrate. Results confirmed that carbon powder and ash powder were shown in white in X-ray images, leading to a conclusion that distinguishing between carbon powder and ash powder is possible by analyzing the pixel value through the image processing technique. However, since pixel values alone are insufficient for exact quantitative evaluation, various studies and analyses are necessary for quantitative evaluation. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Open AccessArticle

An Empirical Study for Real Options of Water Management in the Three Gorges Reservoir Area

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Sustainability 2021, 13(20), 11255; https://doi.org/10.3390/su132011255 - 12 Oct 2021

Viewed by 1259

Abstract

This paper investigates an empirical evaluation of water management on agricultural irrigation. To address this problem, a real options model was proposed. This model analysis the choice of investment in water savings. Also, the model discusses a linear complementary problem that can be [...] Read more.

This paper investigates an empirical evaluation of water management on agricultural irrigation. To address this problem, a real options model was proposed. This model analysis the choice of investment in water savings. Also, the model discusses a linear complementary problem that can be transformed into the inequalities of parabolic variational. By using a power penalty method, we solved the parabolic variational inequalities. The results depicted that the nonlinear parabolic equations’ solution is converges to the rate of order

O (h^{- \frac{k}{2}})

. A numerical example is given at the end of the paper to demonstrate the theoretical analysis follows from the Three Gorges Reservoir Area. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Open AccessArticle

Pricing and Coordination Strategies of Dual Channels Considering Consumers’ Channel Preferences

by

Rufeng Wang

,

Siqi Wang

and

Shuli Yan

Sustainability 2021, 13(20), 11191; https://doi.org/10.3390/su132011191 - 11 Oct 2021

Cited by 2 | Viewed by 1262

Abstract

With the rapid development of electronic commerce, consumers can freely buy the same product from a manufacturers’ Internet channel or a resellers’ physical channel. Based on the consumers’ channel preferences, this article classifies consumers into three types and investigates the price decision in [...] Read more.

With the rapid development of electronic commerce, consumers can freely buy the same product from a manufacturers’ Internet channel or a resellers’ physical channel. Based on the consumers’ channel preferences, this article classifies consumers into three types and investigates the price decision in a dual-channel supply chain using a Stackelberg game, which assumes that the manufacturer, as the game leader, first sets the wholesale price, then the reseller decides the retail price, according to the wholesale price. Furthermore, some numerical experiments are developed to investigate the impact of consumer acceptance, the degree of customer loyalty, and the proportion of identical shoppers on prices and profits. The results show that whether both the retail price and the wholesale price rise or fall depends on a combination of the cost of the physical channel and the Internet shopper’s acceptance of the Internet channel. The reseller’s profit is always lower than the manufacturer’s profit. The reseller’s profit is lower and the manufacturer’s profit is higher, compared with that of a traditional single channel supply chain. The numerical experiments showed that when an Internet shopper’s acceptance of an Internet channel is lower, the wholesale price and retail price in the dual channels will increase with an increase of the degree of customer loyalty (the proportion of identical shoppers). The reseller’s profit (the manufacturer’s profit) will reduce (rise) with the augmentation of the Internet shopper’s acceptance of an Internet channel. Finally, we design a revenue-sharing contract that can coordinate the supply chain and implement a win–win strategy for all partners. This work makes some contributions to the research area of coordination in dual-channel supply chains. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Open AccessArticle

Does Leadership Matter in Performance of Social Enterprises in South Korea?

by

Seokwon Chang

and

Mugoan Jeong

Sustainability 2021, 13(20), 11109; https://doi.org/10.3390/su132011109 - 09 Oct 2021

Cited by 1 | Viewed by 1834

Abstract

In social enterprises, which are hybrid organizations that create social and economic values, the role of leaders is important to achieve goals. However, prior research on social enterprises overlooked the importance of a leader, and some research that considered leadership was insufficient to [...] Read more.

In social enterprises, which are hybrid organizations that create social and economic values, the role of leaders is important to achieve goals. However, prior research on social enterprises overlooked the importance of a leader, and some research that considered leadership was insufficient to concern the characteristics of social enterprises. This study aims to find whether there is no problem in applying the leadership emphasized in a profit-firm to a non-profit-firm such as a social enterprise, since social enterprises pursue economic and social objectives simultaneously. To do so, we examined the effects of four leadership styles (transactional leadership, transformational leadership, servant leadership, and entrepreneurship) used mainly in commercial enterprises on the performance of social enterprises. In review of prior studies, it was assumed that transactional leadership would not have a significant effect on performance, and the other three kinds of leadership were hypothesized to have a positive effect on performance. Additionally, to clarify the relationship between leadership and performance of social enterprises, leader trust and calling were considered as mediators. Using the list of Korea Social Enterprise Promotion Agency, questionnaires were distributed via e-mail to employees of 318 social enterprises located in Seoul, and 251 copies were collected and analyzed. The results of this study show that transactional leadership only affects economic performance and does not show significance with the rest of the variables as was expected. Transformational leadership had positive relationships with variables considered as performances of social enterprises, and the mediating effects of leader trust and calling were also verified. Entrepreneurship was positively related to three performances of social enterprises, but servant leadership had a positive relationship with organizational commitment. This study contributes to highlighting the need for research to find appropriate leadership styles that focus on the characteristics of social enterprises. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Open AccessArticle

Performance Measurement for the Recycling Production System Using Cooperative Game Network Data Envelopment Analysis

by

Huang-Chu Huang

and

Cheng-Feng Hu

Sustainability 2021, 13(19), 11060; https://doi.org/10.3390/su131911060 - 07 Oct 2021

Cited by 3 | Viewed by 1245

Abstract

Resources scarcity and environmental degradation have made sustainable resource utilization and environmental protection necessary worldwide. The development of the circular economy is considered an approach for more appropriate economic and environmental management. This work introduces a cooperative game network data envelopment analysis model [...] Read more.

Resources scarcity and environmental degradation have made sustainable resource utilization and environmental protection necessary worldwide. The development of the circular economy is considered an approach for more appropriate economic and environmental management. This work introduces a cooperative game network data envelopment analysis model for evaluating the implementation effect of recycling production systems from a closed loop and centralized control perspective. The factor efficiency analysis of the involved inputs and outputs is presented to provide guidance for the factor dominance of subsystem efficiencies. An application for assessing the circular economy of EU countries is provided to illustrate the validation of the proposed method. Our results show that the average performance of the production subsystem is superior to that of the recycling subsystem in EU countries. Furthermore, factor efficiency analysis reveals that the inefficient environmental treatment input is the culprit in worse performance of the recycling subsystem. A comparison of the proposed method with recent studies for circular economy performance evaluation is also included. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Innovative and Sustainable Food Production and Food Consumption Entrepreneurship: A Conceptual Recipe for Delivering Development Success in South Africa

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Sustainability 2021, 13(19), 11049; https://doi.org/10.3390/su131911049 - 06 Oct 2021

Cited by 6 | Viewed by 2004

Abstract

Innovative food production and food consumption entrepreneurship can be viewed as a recipe for delivering sustainable development goals to promote economic, human, and community growth among vulnerable and marginalised communities in South Africa (SA). This study critically analyses the trends and related issues [...] Read more.

Innovative food production and food consumption entrepreneurship can be viewed as a recipe for delivering sustainable development goals to promote economic, human, and community growth among vulnerable and marginalised communities in South Africa (SA). This study critically analyses the trends and related issues perpetuating the development gap between privileged and marginalised communities in SA. It explores the link between innovative food production and food consumption entrepreneurship and underdevelopment based on sustainable development goals (SDGs). The study also generates a conceptual model designed to bridge the development gap between privileged and marginalised communities in SA. Philosophically, an interpretivism research paradigm based on the socialised interpretation of extant literature is pursued. Consistent with this stance, an inductive approach and qualitative methodological choices are applied using a combination of thematic analysis and grounded theory to generate research data. Grounded theory techniques determine the extent to which the literature review readings are simultaneously pursued, analysed, and conceptualised to generate the conceptual model. Research findings highlight the perpetual inequality in land distribution, economic and employability status, social mobility, gender equity, education, emancipation, empowerment, and quality of life between privileged and marginalised societies in SA. Underdevelopment issues such as poverty, unemployment, hunger, criminal activities, therefore, characterise marginalised communities and are linked to SDGs. Arguably, food production and food consumption entrepreneurship are ideally positioned to address underdevelopment by creating job opportunities, generating income, transforming the economic status, social mobility, and quality of life. Although such entrepreneurship development initiatives in SA are acknowledged, their impact remains insignificant because the interventions are traditionally prescriptive, fragmented, linear, and foreign-driven. A robust, contextualised, integrated, and transformative approach is developed based on the conceptual model designed to create a sustainable, innovative, and digital entrepreneurship development plan that will be executed to yield employment, generate income and address poverty, hunger, gender inequity. To bridge the gap between privileged and marginalised societies. The conceptual model will be used to bridge the perpetual development gap between privileged and marginalised societies. In SA is generated. Recommended future research directions include implementing, testing, and validating the model from a practical perspective through a specific project within selected marginalised communities. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Open AccessArticle

Consumer Satisfaction towards Green Products: Empirical Insights from Romania

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Andreea-Maria Ciobanu

and

Lucian-Ionel Cioca

Sustainability 2021, 13(19), 10982; https://doi.org/10.3390/su131910982 - 03 Oct 2021

Cited by 15 | Viewed by 4597

Abstract

The current model of linear economy is causing accelerated consumption and an extensive use of natural resources that accentuates the effects of the current global environmental crisis. In this context, green products are becoming a key element in the transition to a sustainable [...] Read more.

The current model of linear economy is causing accelerated consumption and an extensive use of natural resources that accentuates the effects of the current global environmental crisis. In this context, green products are becoming a key element in the transition to a sustainable consumption and production model. The main goal of this paper is to identify the factors predicting youth consumer satisfaction towards green products and to analyze the public perception of green brand products in Romania. Considering these goals, a questionnaire was developed and applied to 268 participants. The results show that a positive attitude towards green products and the level of information held by the consumers about them are significant predictors of green product satisfaction. Moreover, the importance of products being green significantly predicts the purchase of such products. Further implications and research directions are discussed towards the end. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Convergence or Divergence among Business Models of Public Bus Transport Authorities across the Globe: A Fuzzy Approach

by

Büşra Buran

and

Mehmet Erçek

Sustainability 2021, 13(19), 10861; https://doi.org/10.3390/su131910861 - 30 Sep 2021

Cited by 2 | Viewed by 2434

Abstract

Building on the debate about global convergence or divergence of practices, this study aims to query the viability of a new strategic action tool specifically geared to the interests of public bus transportation authorities (PBTA) around the globe and explore the degree of [...] Read more.

Building on the debate about global convergence or divergence of practices, this study aims to query the viability of a new strategic action tool specifically geared to the interests of public bus transportation authorities (PBTA) around the globe and explore the degree of homogeneity in their responses as well as the possible drivers of them. To answer its research question, the study first offers a generic business model design for a PBTA, which integrates an extended version of the business model canvas with external environmental factors in order to enhance its sustainability. Subsequently, the importance attributions of international transportation experts to different model components are evaluated by using the Spherical Fuzzy AHP method. The model is developed in three hierarchical layers and evaluated by experts from four continents: America, Asia, Australia, and Europe. The results indicate that the expert opinions tend to converge more on the internal components of the model and diverge on the external components, especially regarding economic and technological factors. A strategic response action set is also designed to facilitate the adoption of the model by PBTA. The study not only extends the research on the strategic management of the public bus transportation domain but also contributes to the convergence and divergence debate by offering a reconciliatory duality perspective. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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Open AccessArticle

Applications of FFTA–HFACS for Analyzing Human and Organization Factors in Electric Misoperation Accidents

by

Chuan Lin

,

Qifeng Xu

and

Yifan Huang

Appl. Sci. 2021, 11(19), 9008; https://doi.org/10.3390/app11199008 - 27 Sep 2021

Cited by 2 | Viewed by 1702

Abstract

Human and organizational factors (HOFs) play an important role in electric misoperation accidents (EMAs), but research into the reliability of human factors is still in its infancy in the field of EMAs, and further investment in research is urgently required. To analyze the [...] Read more.

Human and organizational factors (HOFs) play an important role in electric misoperation accidents (EMAs), but research into the reliability of human factors is still in its infancy in the field of EMAs, and further investment in research is urgently required. To analyze the HOFs in EMAs, a hybrid method including the Human Factors Analysis and Classification System (HFACS) and fuzzy fault tree analysis (FFTA) was applied to EMAs for the first time in the paper. HFACS is used to identify and classify the HOFs with 135 accidents, reorganized as basic events (BEs), intermediate events (IEs), and top event (TE), and develop the architecture of fault tree (FT). Fuzzy aggregation is employed to address experts’ expressions and obtain the failure probabilities of the BEs and the minimal cut sets (MCSs) of the FT. The approach generates BEs failure probabilities without reliance on quantitative historical failure statistics of EMAs via qualitative records processing. The FFTA–HFACS model is applied for quantitative analysis of the probability of failure of electrical mishaps and the interaction between accident risk factors. It can assist professionals in deciding whether and where to take preventive or corrective actions and assist in knowledgeable decision-making around the electric operation and maintenance process. Finally, applying this hybrid method to EMAs, the results show that the probability of an EMAs is 1.0410 × 10⁻², which is a risk level that is likely to occur and must be controlled. Two of the most important risk factors are habitual violations and supervisory violation; a combination of risk factors of inadequate work preparation and paralysis, and irresponsibility on the part of employees are also frequent errors. Full article

(This article belongs to the Topic Industrial Engineering and Management)

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