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Industry 4.0—The Sustainable and Smart Ways to Control the Management of Manufacturing Sector

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Management".

Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 17820

Special Issue Editors


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Guest Editor
Department of Mathematics, Kishore Bharati Bhagini Nivedita College, Kolkata, India
Interests: inventory; production planning and control; bio-mathematics; supply chain management
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Commerce, Kishore Bharati Bhagini Nivedita College, Kolkata 700060, India
Interests: e-commerce; communication; marketing; women’s empowerment; human resources; stress; corporate governance; business and management
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

With rapid development in the fields of information technology and hardware, the world is witnessing the Fourth Industrial Revolution, with a new buzzword “Industry 4.0”, associated with wireless connectivity and sensors to monitor and visualize entire production processes and to make automated decisions. In short, Industry 4.0 is the digital transformation of manufacturing/production and related industries and value creation processes with the use of the Internet of Things (IoT), the Industrial Internet of Things (IIoT), cyber-physical systems, smart manufacture, smart factories, cloud computing, cognitive computing, and artificial intelligence (AI), etc. However, Industry 4.0 is not a concept which can be realized overnight; it is a strategy which needs to be addressed in depth when implementing aspects of Industry 4.0. The aim of this Special Issue is to provide an overview on the future developments and directions in Industry 4.0, and the future scope of factories. Our endeavour encourages all professionals, academics, industrialists, and other experts in the field to act as consultants, providing their views and opinions on the complete digitization of the manufacturing sector. This Special Issue will raise awareness about Industry 4.0 among the Indian manufacturing industry, leading towards a sustainable and profitable future. Raising awareness about Industry 4.0 among the manufacturing industries is vital, to enable preparation regarding the future scope of factories through the implementation of cyber-physical systems. Original research and review articles with the objectives of addressing the problems in the implementation of new technology, as well as social and environmental issues, are encouraged. With the established ideas and methods of economic growth and development, Industry 4.0 can shape a better society with the knowledge and respect of rights and laws; installing social and environmental values and norms will facilitate sustainable global development.

The following potential topics are welcome from academics, although this list is not exhaustive:

  • Smart manufacture;
  • Sustainable inventory control and management;
  • Sustainable production planning and control;
  • Green supply chains and management;
  • Green production systems;
  • Cloud computing and cognitive computing;
  • Artificial intelligence (AI);
  • Challenges and opportunities of the industrial internet;
  • The role and importance of Industry 4.0 in socioeconomic development;
  • Scenario of the present fourth generation industrial system;
  • Sustainable development of the manufacturing industry;
  • Empowering women in the era of Industry 4.0;
  • Human resource development in the era of Industry 4.0;
  • Significance of Industry 4.0 in industrial development.

Dr. Shib Sankar Sana
Dr. Sweety Sadhukhan
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Smart manufacture
  • Sustainable inventory control and management
  • Sustainable production planning and control
  • Green supply chain and management
  • Green production systems
  • Cloud computing and Cognitive computing
  • Artificial intelligence (AI)
  • Challenges and opportunities of the industrial internet
  • Role and importance of industry 4.0 in socio- economic development
  • Scenario of present industrial system in 4th generation
  • Sustainable development of manufacturing industry
  • Empowering women in the era of Industry 4.0

Published Papers (6 papers)

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Research

23 pages, 1548 KiB  
Article
Exploring the Relationship between Data Analytics Capability and Competitive Advantage: The Mediating Roles of Supply Chain Resilience and Organization Flexibility
by Ghazal Rezaei, Seyed Mohammad Hassan Hosseini and Shib Sankar Sana
Sustainability 2022, 14(16), 10444; https://doi.org/10.3390/su141610444 - 22 Aug 2022
Cited by 4 | Viewed by 2871
Abstract
In today’s business environment, data analytics capability has gained popularity among organizations as a source of competitive advantage. Furthermore, due to the current business outsourcing, supply chain management is known to be an extremely challenging task. Most previous studies focused on the relationship [...] Read more.
In today’s business environment, data analytics capability has gained popularity among organizations as a source of competitive advantage. Furthermore, due to the current business outsourcing, supply chain management is known to be an extremely challenging task. Most previous studies focused on the relationship between data analytics capability and competitive advantage regardless of the role of organizational characteristics, particularly supply chain resilience. This paper aimed to assess the impact of data analytics capability on competitive advantage in the textile industry concerning the mediating role of supply chain resilience and organizational flexibility. To this end, a new conceptual model was developed to investigate the relationships and partial least squares–structural equation modeling (PLS-SEM) was applied for analysis. The population of this study comprised 450 qualified persons and four well-known brands of sleep products. In addition, a pilot survey was conducted with 30 respondents before the questionnaire was used for the final survey. Based on the results, data analytics capability positively affected competitive advantage, supply chain resilience, and organizational flexibility. Additionally, supply chain resilience and organizational flexibility played mediating roles in the relationship between data analytics capability and competitive advantage. Finally, some management insights are presented that are of interest to top managers. However, the results of this study were limited to the area of the textile industry (sleeping goods manufacturers) in Iran in order to maintain the uniformity of the research constructs. Full article
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18 pages, 749 KiB  
Article
An EOQ Model with Carbon Emissions and Inflation for Deteriorating Imperfect Quality Items under Learning Effect
by Osama Abdulaziz Alamri, Mahesh Kumar Jayaswal, Faizan Ahmad Khan and Mandeep Mittal
Sustainability 2022, 14(3), 1365; https://doi.org/10.3390/su14031365 - 25 Jan 2022
Cited by 20 | Viewed by 2759
Abstract
We developed an economic order quantity (EOQ) model with a learning effect and carbon emissions under inflationary conditions and inspection for retailers where the items deteriorate naturally. Finally, the total profit of the retailer is maximized with respect to cycle length. A sensitivity [...] Read more.
We developed an economic order quantity (EOQ) model with a learning effect and carbon emissions under inflationary conditions and inspection for retailers where the items deteriorate naturally. Finally, the total profit of the retailer is maximized with respect to cycle length. A sensitivity analysis was also performed to understand the robustness of the model. In the sensitivity analysis, we discuss the impact of learning rate, inflation rate, and deterioration rate on lot size and length of the cycle, as well as the retailer’s entire profit function. Observations and managerial insights are discussed. The effect of inventory parameters on the total profit is shown in the sensitivity section. Full article
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19 pages, 376 KiB  
Article
Two Level Trade Credit Policy Approach in Inventory Model with Expiration Rate and Stock Dependent Demand under Nonzero Inventory and Partial Backlogged Shortages
by Ali Akbar Shaikh, Leopoldo Eduardo Cárdenas-Barrón, Amalesh Kumar Manna, Armando Céspedes-Mota and Gerardo Treviño-Garza
Sustainability 2021, 13(23), 13493; https://doi.org/10.3390/su132313493 - 6 Dec 2021
Cited by 6 | Viewed by 1862
Abstract
In present real life situations, the stock and expiration date directly impact on the demand of an item. In this context, this research work develops an inventory model for stock and expiration rate-dependent demand under a two-level trade credit policy. Specifically, the following [...] Read more.
In present real life situations, the stock and expiration date directly impact on the demand of an item. In this context, this research work develops an inventory model for stock and expiration rate-dependent demand under a two-level trade credit policy. Specifically, the following three situations are studied: (i) trade credit policy without zero ending inventory; (ii) trade credit policy with zero ending inventory; (iii) trade credit policy with partial backlogged shortages. The proposed inventory model is formulated as a non-linear constrained optimization problem. Some theoretical results are derived, and an algorithm is stated in order to solve the proposed inventory model. The main objective of the inventory model is to determine the optimal cycle length, the optimal ending inventory level, and the optimal number of units displayed which maximize the total profit. Some numerical examples are solved. Finally, a sensitivity analysis is done with the aim to see the impacts of a variation of the input parameters on the decision variables and the total profit. Full article
25 pages, 5012 KiB  
Article
An Investigation of a Supply Chain Model for Co-Ordination of Finished Products and Raw Materials in a Production System under Different Situations
by Dharamender Singh, Anurag Jayswal, Majed G. Alharbi and Ali Akbar Shaikh
Sustainability 2021, 13(22), 12601; https://doi.org/10.3390/su132212601 - 15 Nov 2021
Cited by 1 | Viewed by 2058
Abstract
In the production system, the production of a perfect item is essential for existing competitive market situations. To produce a perfect finished product, the quality of a raw material is a crucial issue of a production system. This paper has examined this issue [...] Read more.
In the production system, the production of a perfect item is essential for existing competitive market situations. To produce a perfect finished product, the quality of a raw material is a crucial issue of a production system. This paper has examined this issue with an insightful production-inventory model of the manufacturer of a deteriorating item selling goods to multiple markets with different selling seasons. We have provided an answer strategy to track down the optimal production plan for raw materials and the ideal creation plan for completed items. Transportation cost was incorporated for transporting the raw material. Marketing of the finished product is another crucial factor for selling products and earning revenues. The main objective of the present study is to adopt a production model in inventory for inferring request capacities for multi-item, multi-outlet circumstances. As of late, much accentuation has been given to the consideration of the control and support of creation inventories of disintegrating things. The demand rate is persistent and holding cost is a direct function of time. This paper has followed an analytical approach to diminish the entire inventory cost. Finally, a sensitivity analysis was performed to study the effect of changes of different parameters of the model on the optimal policy. Moreover, in order to approve the determined models, we have clarified mathematical models and examined affectability. Full article
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18 pages, 2032 KiB  
Article
Pricing and Coordination Strategies in a Dual Channel Supply Chain with Green Production under Cap and Trade Regulation
by Ata Allah Taleizadeh, Milad Shahriari and Shib Sankar Sana
Sustainability 2021, 13(21), 12232; https://doi.org/10.3390/su132112232 - 5 Nov 2021
Cited by 38 | Viewed by 2851
Abstract
In this paper, we consider a two level dual channel green supply chain consisting of a retailer and a manufacturer with a separate sales channel for the manufacturer. The manufacturer uses green technology in its production and is required to produce in accordance [...] Read more.
In this paper, we consider a two level dual channel green supply chain consisting of a retailer and a manufacturer with a separate sales channel for the manufacturer. The manufacturer uses green technology in its production and is required to produce in accordance with the cap and trade regulation. Using game theory, we compare cases where members decide to compete or cooperate with each other in terms of pricing and production. Our main contributions are studying the dual channel supply chain model where a manufacturer is regulated by the cap and trade system, using green production and also on their decision as to whether to compete or cooperate with a value-adding retailer. We also investigated the impact of green production on lowering the amount of carbon emissions produced. In the present study, supply chain members are advised to cooperate with each other in order to achieve the environmental benefits of the cap and trade system and, to avoid market failure, we further recommend that manufacturers should invest in green technologies for their production. Full article
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20 pages, 4576 KiB  
Article
Optimal Pricing and Greening Strategy in a Competitive Green Supply Chain: Impact of Government Subsidy and Tax Policy
by Abhijit Barman, Rubi Das, Pijus Kanti De and Shib Sankar Sana
Sustainability 2021, 13(16), 9178; https://doi.org/10.3390/su13169178 - 16 Aug 2021
Cited by 62 | Viewed by 3629
Abstract
With the expanding awareness of worldwide governments to ecological issues, the idea of protecting the environment has been initiated into the supply chain. The role of government in green supply chain management has become especially significant. This paper proposes a green supply chain [...] Read more.
With the expanding awareness of worldwide governments to ecological issues, the idea of protecting the environment has been initiated into the supply chain. The role of government in green supply chain management has become especially significant. This paper proposes a green supply chain model with a duopoly structure, in which two manufacturers separately produce green and non-green items sold through a common retailer. The government looks for social advantages and decides subsidies for the green item and taxes for non-green items. Using a centralized and decentralized model, two cases of government interference and no government interference are analyzed with customer green preference. This study focuses on exploring the pricing strategy, greening strategy and comparing the optimal decisions in all the cases to maximize the overall profitability of the supply chain. Numerical results and sensitivity analysis illustrate how the government subsidy on green products and tax policy in non-green products can influence the profitability of supply chain members. The research finding can give valuable experiences to channel members of the supply chain to settle optimum choices with and without government interference by enhancing the green and non-green item market competition. Among the competitive duopoly structure, the centralized model makes more profit and leads to manufactured eco-friendly items. Full article
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