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

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


Anbesh Jamwal

Rajeev Agrawal

Monica Sharma


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.


Kumar, V., Jamwal, A., Agrawal, R., & Sharma, M. (in press). Review on multi-criteria decision analysis in sustainable manufacturing decision making. International Journal of Sustainable Engineering,

Journal Article Type Review
Acceptance Date Dec 11, 2020
Online Publication Date Dec 30, 2020
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
Public URL