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Review on multi-criteria decision analysis in sustainable manufacturing decision making

Jamwal, Anbesh; Agrawal, Rajeev; Sharma, Monica; Kumar, Vikas

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Authors

Anbesh Jamwal

Rajeev Agrawal

Monica Sharma



Abstract

At present sustainable development, assessment of sustainable manufacturing practices, and prioritisation of barriers, drivers, and indicators have become complex due to the involvement of existing benchmarks like social, economical, technical, and environmental. Literature review available on sustainable manufacturing practices assessment which considers all three dimensions is relatively limited. Recently, in sustainable manufacturing decision making, approaches to evaluate sustainable manufacturing practices have used both quantitative and qualitative data. This study aims to present a systematic review of multi-criteria decision making (MCDM) applications in sustainable manufacturing. In the present study papers available in the Scopus database were reviewed on the applications of different MCDM techniques in the sustainable manufacturing area. The study highlights how the manufacturing industries can benefit from MCDM techniques in decision making. This review article develops insights into various multi-criteria decision-making techniques progress made by considering the sustainable manufacturing applications over MCDM methods. An extensive review in the sphere of sustainable manufacturing has been performed by considering the Scopus database and utilising MCDM techniques. It is found that most of the studies available in the sustainable manufacturing (SM) area are based on fuzzy-based single model approaches.

Citation

Jamwal, A., Agrawal, R., Sharma, M., & Kumar, V. (2021). Review on multi-criteria decision analysis in sustainable manufacturing decision making. International Journal of Sustainable Engineering, 14(3), 202-225. https://doi.org/10.1080/19397038.2020.1866708

Journal Article Type Review
Acceptance Date Dec 11, 2020
Online Publication Date Dec 30, 2020
Publication Date 2021
Deposit Date Apr 14, 2021
Publicly Available Date Dec 31, 2021
Journal International Journal of Sustainable Engineering
Print ISSN 1939-7038
Electronic ISSN 1939-7046
Publisher Taylor & Francis
Peer Reviewed Peer Reviewed
Volume 14
Issue 3
Pages 202-225
DOI https://doi.org/10.1080/19397038.2020.1866708
Public URL https://uwe-repository.worktribe.com/output/7259286

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Review on multi-criteria decision analysis in sustainable manufacturing decision making (284 Kb)
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http://creativecommons.org/licenses/by-nc/4.0/

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http://www.rioxx.net/licenses/all-rights-reserved

Copyright Statement
This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Sustainable Engineering [Jamwal, A., Agrawal, R., Sharma, M., & Kumar, V. (2021). Review on multi-criteria decision analysis in sustainable manufacturing decision making. International Journal of Sustainable Engineering, 14(3), 202-225.https://doi.org/10.1080/19397038.2020.1866708]. It is deposited under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited.


Review on multi-criteria decision analysis in sustainable manufacturing decision making (909 Kb)
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Licence
http://creativecommons.org/licenses/by-nc/4.0/

Publisher Licence URL
http://www.rioxx.net/licenses/all-rights-reserved

Copyright Statement
This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Sustainable Engineering [Jamwal, A., Agrawal, R., Sharma, M., & Kumar, V. (2021). Review on multi-criteria decision analysis in sustainable manufacturing decision making. International Journal of Sustainable Engineering, 14(3), 202-225.https://doi.org/10.1080/19397038.2020.1866708]. It is deposited under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited.







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