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Sustainability in Operations Management

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

Deadline for manuscript submissions: closed (31 July 2022) | Viewed by 17084

Special Issue Editors


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Leading Guest Editor
Department of Mechanical, Aerospace and Civil Engineering (MACE), University of Manchester, Manchester M13 9PL, UK
Interests: operations management; asset management; industrial maintenance; health and safety management; data fusion; condition monitoring; faults diagnosis; learning from failures; energy management; vibration-based fault detection

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Guest Editor
Operations and Systems Management, Centre for Blue Governance, University of Portsmouth, Portsmouth PO1 2UP, UK
Interests: learning from failures and disasters using reliability techniques; decision analysis in corporate social responsibility (CSR)
Reader in Project Management, Manchester Metropolitan University, Manchester M15 6BH, UK
Interests: sustainability and the environment; information modelling and digitisation; people/process/technology

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Guest Editor
Department of Mechanical, Aerospace and Civil Engineering (MACE), University of Manchester, Manchester M13 9PL, UK
Interests: circular economy in construction; risk management in construction projects; construction communications; virtual teams in construction; contractor prequalification and bid evaluation; decision making

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Guest Editor
Department of Mechanical, Aerospace and Civil Engineering (MACE), University of Manchester, Manchester M13 9PL, UK
Interests: management of projects

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Guest Editor
Department of Mechanical, Aerospace and Civil Engineering (MACE), University of Manchester, Manchester M13 9PL, UK
Interests: engineering project management

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Guest Editor
Department of Electrical Engineering, Faculty of Engineering, Bayero University, Kano, Nigeria
Interests: sustainable energy; distributed generation systems; energy access; power quality improvement

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Guest Editor
Guest Professor RWTH Aachen University/Director, SeaNexus, 52062 Aachen, Germany
Interests: renewable energy operations and marine systems

Special Issue Information

Dear Colleagues,

Sustainability, as a paradigm, started in 1960s in response to concerns about air and water pollution, and natural resource depletion resulting from overuse and overpopulation. Since then, there have been global trends of integrating principles of sustainability into all sectors of the economy including their operations, activities, transactions, and services. The 2030 Agenda for Sustainable Development, adopted by all United Nations Member States in 2015, provides a shared framework of high-level goals, referred to as Social Development Goals (SDGs), for all sectors to engage with and contribute to sustainable development on a global scale. For example, innovative design and construction processes of infrastructure projects can embrace the circularity of construction materials, which links to goals of "Sustainable Cities and Communities", "Responsible Consumption and Production", and "Industry Innovation and Infrastructure", whereas infrastructure operations can be planned to achieve social equity in delivering social value at a national level, which links to a wide range of SDGs including, for example, "Good Health and Wellbeing", "Quality Education", "Decent Work and Economic Growth" to mention a few.

The industrial revolutions significantly enhanced the abilities of organisations to improve the quality of human life through more precise and faster approaches that aided the conversion of inputs to outputs. Traditional operations processes were mainly based on the application of narrowly skilled experts, several unskilled workers, large inter-stage storage facilities and complex-single-purpose equipment for producing huge volumes of standard items. There is no doubt that these strategies, coupled with other approaches, such as reactive repairs of failed assets, generally boosted outputs at the time that most markets were monopolistic in nature. However, recent shifts in paradigm from a producer-driven to mostly consumer-driven system due to globalisation and technological advancements have led to the emergence of concepts that eliminate waste. The increasing need for adopting sustainable business practices have opened new research avenues in the field of operations management. To introduce better economic, social, and environmental sustainability practices, operations management researchers draw upon the mainstream management theories and put them all through the sustainability lenses. For example, for a long time, the people side of operations management was concerned with how to fit people into jobs and how to fit jobs for people. However, social sustainable practices bring a whole new concept of concerns for communities in which the business is operating.  Existing research is lacking in problematizing how the notion of social sustainability is constructed and how it could enhance operations management practices.  Addressing this research gap requires approaching sustainability as a context and not an add-on to well-established practices. 

Irrespective of the sector or discipline that forms the context through which operations management is considered, the impact of the recent global restrictions imposed by the recent COVID-19 pandemic on core facets of operations management, such as productivity, safety, asset management and supply chain resilience, which account for the movement of goods, services, people and knowledge, must be considered in tandem. This, coupled with globalisation and rapidly advancements in technology, makes it imperative for organisations to swiftly deduce resilient mechanisms that can adapt to, respond to and recovery from global operational challenges. Therefore, this Special Issue “Sustainability in Operations” aims to summarize the state of the art of the research and practice that can advance the resilience of industrial operations. The Special Issue includes, but is not limited to, the following topics:

  • Asset management.
  • Reliability, availability and maintainability.
  • Supply chain management and resilience.
  • Human error, human reliability and organisational factor analysis.
  • People resilience and sustainable reintegration.
  • Learning from failures and analysis.
  • Industrial internet of things.
  • Digital twin.
  • Operations management strategy.
  • Operations management theories.
  • Safety in operations.
  • Data fusion and hybridisation.
  • Big data and data analytics.
  • Process optimisation and waste minimisation in operations.
  • Through-life cycle management.
  • Operations design and innovation.
  • Lean and six sigma.
  • Continuous improvement in operations management.
  • Quality assurance and quality control in operations management.
  • Reliability centred maintenance.
  • Total productive maintenance.
  • Total quality management.
  • Operations information and knowledge management systems.
  • Major overhauls, outages, shutdowns and turnarounds (MoOSTs).
  • Workload management.
  • Planning and scheduling.
  • Forecasting and prediction.
  • Circular economy.
  • Sustainable educational operations.
  • Sustainable construction operations.
  • Renewable energy operations and marine systems.

The purpose of the Special Issue is to collect original research papers, review articles and case studies. Although the emphasis of this Special Issue is on practice and implementation, we also welcome fundamental studies.

Dr. Akilu Yunusa-Kaltungo
Prof. Dr. Ashraf Labib
Dr. Eric Lou
Dr. Mohamed Abadi
Dr. Elika Aminian
Dr. Amir Rahbarimanesh
Dr. Nabila Ahmed Rufa’i
Prof. Sulaiman O Olanrewaju
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

  • Operations Management Strategy
  • Operations Design and Innovation
  • COVID-19
  • Sustainability
  • Circular Economy
  • Renewable Energy

Published Papers (5 papers)

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Research

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23 pages, 4387 KiB  
Article
Development of an Interactive Web-Based Knowledge Management Platform for Major Maintenance Activities: Case Study of Cement Manufacturing System
by Lilian Ogechi Iheukwumere-Esotu and Akilu Yunusa-Kaltungo
Sustainability 2022, 14(17), 11041; https://doi.org/10.3390/su141711041 - 04 Sep 2022
Cited by 4 | Viewed by 2276
Abstract
The expectations of organizations within industries that perform MoOSTs when adopting knowledge management (KM) as part of their organizational process are to improve the ability to execute their core business functions in the process of capturing as well as retaining expert knowledge. However, [...] Read more.
The expectations of organizations within industries that perform MoOSTs when adopting knowledge management (KM) as part of their organizational process are to improve the ability to execute their core business functions in the process of capturing as well as retaining expert knowledge. However, existing literature is limited in MoOSTs-specific knowledge management systems (KMS) that can assist with experience capturing, collation and transfer. This is partly due to the challenges associated with the ability to design, implement and test the efficacy of such KMS in practice, owing to many intricately identified knowledge barriers within MoOSTs. In this study, through a cement manufacturing process case study, a proposal depicting a typical KM process within MoOSTs is presented along with an early stage interactive web-based KMS for MoOSTs. The developed KMS is termed MoOSTs knowledge platform (MoOSTsKP). The MoOSTsKP was evaluated by experts for its fluidity, resilience, and adaptability to different MoOSTs organizations, which are crucial elements for integration into existing MoOSTs information technology (IT) systems. The MoOSTsKP is identified with having many benefits including prioritization of MoOSTs activities based on an in-built criticality assessment model, which enables MoOSTs experts to instantly identify priority knowledge classes and in turn rationalise the workload associated with knowledge capture and reuse. Based on expert opinions, it is envisaged that the proposed MoOSTsKP would contribute immensely towards the alleviation of challenges associated with incessant loss of vital expertise. Full article
(This article belongs to the Special Issue Sustainability in Operations Management)
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26 pages, 4441 KiB  
Article
Knowledge Management and Experience Transfer in Major Maintenance Activities: A Practitioner’s Perspective
by Lilian .O. Iheukwumere-Esotu and Akilu Yunusa-Kaltungo
Sustainability 2022, 14(1), 52; https://doi.org/10.3390/su14010052 - 21 Dec 2021
Cited by 7 | Viewed by 3357
Abstract
Major overhauls, outages, shutdowns and turnarounds (MoOSTs) are significant maintenance interventions needed on a periodic basis to optimise the performance of physical industrial assets (PIAs). However, uncertainties in the forms of emergent and discovery work which sometimes cause delays and cost overruns are [...] Read more.
Major overhauls, outages, shutdowns and turnarounds (MoOSTs) are significant maintenance interventions needed on a periodic basis to optimise the performance of physical industrial assets (PIAs). However, uncertainties in the forms of emergent and discovery work which sometimes cause delays and cost overruns are quite common partly because, MoOSTs are characterised by inherent challenges such as, but not limited to, short execution spans, volatility in ever-evolving schedules, task complexities as well as huge offline production and/or operation costs etc. Furthermore, in the literature, other complex elements which further constrains decision-makers in MoOSTs from satisfactorily achieving predetermined objectives have been identified, one of which is the lack of a formalised approach for capturing tacit knowledge from experienced practitioners. Consequently, because MoOSTs is an applied discipline, significant human endeavours are required in the planning and management, which makes it pertinent to examine and obtain the perspectives of experienced MoOSTs practitioners. Therefore, the aims of this study are two folds; firstly, to examine the extent of alignment between findings from literature as it relates to the challenges encountered during MoOSTs, as well as probe their underlying causes in practice. Secondly, to show how relevant the findings from this study would be in providing a baseline for establishing a proposal for capturing MoOSTs knowledge and the transfer of experience. The research approach adopted; thematic synthesis of themes which emerged from knowledge management challenges in MoOSTs identified via an earlier systematic literature review (SLR); and then, the identified challenges were validated through conducting interviews with practitioners. Demography analysis as well as specific MoOSTs related questions were administered via questionnaires, which were then analysed using frequency analysis method. Additionally, semi-structured interviews were conducted to investigate the perceptions of practitioners on pertinent MoOSTs issues. Both questionnaires and interview questions were formulated by findings obtained from the SLR, so as to examine whether the knowledge management challenges identified in the literature exist in practice, and if they do to what extent. In total, the selected responses of 49 practitioners, with origin across five industries were examined to determine the extent of alignment between literature and the practice-based perspectives. Based on the results, nine challenges were identified as critical themes, six of which were associated with managing knowledge. The study identified not only known constraints from literature but also their underlying causes based on the perspective of practitioners involved in multiple MoOSTs, which is crucial for developing sustainable mitigation. A unique contribution of this research is the mapping of demographic information such as industry, country, job class, years of experience, MoOSTs organization size, frequency for performing MoOSTs, etc., to responses obtained from participants, which has not been shown in literature prior to now. The importance of such rigorous efforts in the research design, is crucial for enabling the adoption of holistic approaches to eliminating the underlying causes of challenges encountered in MoOSTs, based on first hand reporting of people involved. In addition, the relevance of such first-hand analyses of responses obtained from this study; serve as baseline for the introduction of the proposal to adequately manage knowledge management issues in this discipline. Full article
(This article belongs to the Special Issue Sustainability in Operations Management)
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22 pages, 5504 KiB  
Article
Improved Preventive Maintenance Scheduling for a Photovoltaic Plant under Environmental Constraints
by Aisha Sa’ad, Aimé C. Nyoungue and Zied Hajej
Sustainability 2021, 13(18), 10472; https://doi.org/10.3390/su131810472 - 21 Sep 2021
Cited by 5 | Viewed by 2275
Abstract
The supply of PV power that satisfies the needs of customers is heavily dependent on the reliability of the generating plants. However, irrespective of the robustness of the design of such physical industrial assets, they tend to depreciate with usage and/or age which, [...] Read more.
The supply of PV power that satisfies the needs of customers is heavily dependent on the reliability of the generating plants. However, irrespective of the robustness of the design of such physical industrial assets, they tend to depreciate with usage and/or age which, in turn, increases the allowance between the design and the operational capabilities. Therefore, to ameliorate the reliability of the system, a combination of selective and preventive maintenance actions were planned by determining the best combination (optimal preventive maintenance intervals, optimal replaced components). In this work, we developed an optimal preventive maintenance strategy with minimal repair using the iterative numerical technique for a PV plant, with and without considering the influence of environmental conditions on the system. An algorithm was developed on MATLAB to determine the optimal number of preventive maintenance actions that yields the maximum availability by selecting the components to be maintained based on the reliability threshold, without considering the environmental impact on the components. The environmental elements’ criticality was introduced, and the reliability reiterated based on the new technique. Finally, by maximizing the availability of the system, an optimal preventive maintenance for a finite horizon was established. Full article
(This article belongs to the Special Issue Sustainability in Operations Management)
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21 pages, 4694 KiB  
Article
Knowledge Criticality Assessment and Codification Framework for Major Maintenance Activities: A Case Study of Cement Rotary Kiln Plant
by Lilian. O. Iheukwumere-Esotu and Akilu Yunusa-Kaltungo
Sustainability 2021, 13(9), 4619; https://doi.org/10.3390/su13094619 - 21 Apr 2021
Cited by 19 | Viewed by 2646
Abstract
Maintenance experts involved in managing major maintenance activities such as; Major overhauls, outages, shutdowns and turnarounds (MoOSTs) are constantly faced with uncertainties during the planning and/or execution phases, which often stretches beyond the organisation’s standard operating procedures and require the intervention of staff [...] Read more.
Maintenance experts involved in managing major maintenance activities such as; Major overhauls, outages, shutdowns and turnarounds (MoOSTs) are constantly faced with uncertainties during the planning and/or execution phases, which often stretches beyond the organisation’s standard operating procedures and require the intervention of staff expertise. This underpins a need to complement and sustain existing efforts in managing uncertainties in MoOSTs through the transformation of knowledgeable actions generated from experts’ tacit-based knowledge. However, a vital approach to achieve such transformation is by prioritising maintenance activities during MoOSTs. Two methods for prioritising maintenance activities were adopted in this study; one involved a traditional qualitative method for task criticality assessment. The other, a quantitative method, utilised a Fuzzy inference system, mapping membership functions of two crisp inputs and output accompanied by If-Then rules specifically developed for this study. Prior information from a 5-year quantitative dataset was obtained from a case study with appreciable frequency for performing MoOSTs; in this case, a Rotary Kiln system (RKS) was utilised in demonstrating practical applicability. The selection of the two methods was informed by their perceived suitability to adequately analyse the available dataset. Results and analysis of the two methods indicated that the obtained Fuzzy criticality numbers were more sensitive and capable of examining the degree of changes to membership functions. However, the usefulness of the traditional qualitative method as a complementary approach lies in its ability to provide a baseline for informing expert opinions, which are critical in developing specific If-Then rules for the Fuzzy inference system. Full article
(This article belongs to the Special Issue Sustainability in Operations Management)
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Review

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55 pages, 3408 KiB  
Review
A Systematic Review of the Extent to Which BIM Is Integrated into Operation and Maintenance
by Dania K. Abideen, Akilu Yunusa-Kaltungo, Patrick Manu and Clara Cheung
Sustainability 2022, 14(14), 8692; https://doi.org/10.3390/su14148692 - 15 Jul 2022
Cited by 10 | Viewed by 4383
Abstract
Although a considerable amount of research has addressed the use of building information modelling (BIM) in facilities management (FM) within the past years, there is limited systematic review on investigating the potentials of BIM within the operation and maintenance (O&M) life cycle phase. [...] Read more.
Although a considerable amount of research has addressed the use of building information modelling (BIM) in facilities management (FM) within the past years, there is limited systematic review on investigating the potentials of BIM within the operation and maintenance (O&M) life cycle phase. Yet, this phase could account for approximately 60% of the total life cycle costs of assets. The purpose of this paper is to conduct a systematic literature review on the application of BIM in the O&M phase to identify current research trends, research gaps and future directions. This study achieves the aforementioned purpose by adopting the preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P). It employs qualitative and quantitative techniques to analyse the articles from a combination of three multi-disciplinary research databases, namely—Scopus, Web of Science and Engineering Village, which also comprises Compendex, InSpec, GeoRef and GeoBase sub-databases. After an in-depth review of 196 selected journal articles, this study systemically presents: (1) bibliometric analyses of the literature in BIM and O&M; (2) research patterns and trends; (3) drivers and barriers to BIM–O&M integration; and (4) research gaps mapped into a standard project management lifecycle to guide future research directions. The content analysis reveals that BIM has mainly been integrated under seven functions: information management (IM), advanced technology (AT), maintenance and asset management (MAM), indoor management (IM), performance assessment (PA), visualisation (V), and lean management (LM). Findings of the study reveal that the UK, USA and China are the top ranked countries with regards to research outputs on BIM–O&M integrations. The majority of BIM integrations within O&M falls under the information management function, whereas the least research output was recorded under lean management. In addition, the majority of studies focused on institutional and infrastructure facility types, but residential, industrial and commercial buildings were underrepresented, despite their disproportionate physical dominance within most societies. Findings also show that potential drivers and barriers for BIM integrations within O&M can be classified into three main categories—technical, organisational, and legal/contractual. It is then concluded that the application of BIM within O&M is still emerging, which further emphasises the need for more studies that address value realization in the context of BIM in O&M, with particular focus on the specific O&M principles for different building types. Full article
(This article belongs to the Special Issue Sustainability in Operations Management)
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