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...

Full description

Bibliographic Details
Main Authors: Anbesh Jamwal, Rajeev Agrawal, Monica Sharma, Vikas Kumar
Format: Article
Language:English
Published: Taylor & Francis Group 2021-05-01
Series:International Journal of Sustainable Engineering
Subjects:
Online Access:http://dx.doi.org/10.1080/19397038.2020.1866708
_version_ 1827810899118784512
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
work_keys_str_mv AT anbeshjamwal reviewonmulticriteriadecisionanalysisinsustainablemanufacturingdecisionmaking
AT rajeevagrawal reviewonmulticriteriadecisionanalysisinsustainablemanufacturingdecisionmaking
AT monicasharma reviewonmulticriteriadecisionanalysisinsustainablemanufacturingdecisionmaking
AT vikaskumar reviewonmulticriteriadecisionanalysisinsustainablemanufacturingdecisionmaking