Review on multi-criteria decision analysis in sustainable manufacturing decision making
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 susta...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2021-05-01
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Series: | International Journal of Sustainable Engineering |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/19397038.2020.1866708 |
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author | Anbesh Jamwal Rajeev Agrawal Monica Sharma Vikas Kumar |
author_facet | Anbesh Jamwal Rajeev Agrawal Monica Sharma Vikas Kumar |
author_sort | Anbesh Jamwal |
collection | DOAJ |
description | 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. |
first_indexed | 2024-03-11T22:57:47Z |
format | Article |
id | doaj.art-a9e08d5dbd354befafcfd8a63f48b381 |
institution | Directory Open Access Journal |
issn | 1939-7038 1939-7046 |
language | English |
last_indexed | 2024-03-11T22:57:47Z |
publishDate | 2021-05-01 |
publisher | Taylor & Francis Group |
record_format | Article |
series | International Journal of Sustainable Engineering |
spelling | doaj.art-a9e08d5dbd354befafcfd8a63f48b3812023-09-21T15:17:04ZengTaylor & Francis GroupInternational Journal of Sustainable Engineering1939-70381939-70462021-05-0114320222510.1080/19397038.2020.18667081866708Review on multi-criteria decision analysis in sustainable manufacturing decision makingAnbesh Jamwal0Rajeev Agrawal1Monica Sharma2Vikas Kumar3Malaviya National Institute of TechnologyMalaviya National Institute of TechnologyMalaviya National Institute of TechnologyTon Duc Thang UniversityAt 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.http://dx.doi.org/10.1080/19397038.2020.1866708sustainable manufacturingsustainable developmentmcdmbarriersdriversindicators |
spellingShingle | Anbesh Jamwal Rajeev Agrawal Monica Sharma Vikas Kumar Review on multi-criteria decision analysis in sustainable manufacturing decision making International Journal of Sustainable Engineering sustainable manufacturing sustainable development mcdm barriers drivers indicators |
title | Review on multi-criteria decision analysis in sustainable manufacturing decision making |
title_full | Review on multi-criteria decision analysis in sustainable manufacturing decision making |
title_fullStr | Review on multi-criteria decision analysis in sustainable manufacturing decision making |
title_full_unstemmed | Review on multi-criteria decision analysis in sustainable manufacturing decision making |
title_short | Review on multi-criteria decision analysis in sustainable manufacturing decision making |
title_sort | review on multi criteria decision analysis in sustainable manufacturing decision making |
topic | sustainable manufacturing sustainable development mcdm barriers drivers indicators |
url | http://dx.doi.org/10.1080/19397038.2020.1866708 |
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