Sustainable Supply Chain Management and Multi-Criteria Decision-Making Methods: A Systematic Review

Paul, A; Shukla, N; Paul, SK; Trianni, A

Sustainable Supply Chain Management and Multi-Criteria Decision-Making Methods: A Systematic Review

Paul, A Shukla, N

Paul, SK Trianni, A

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Publisher:: MDPI AG
Publication Type:: Journal Article
Citation:: Sustainability, 2021, 13, (13), pp. 7104-7104
Issue Date:: 2021-06

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Field	Value	Language
dc.contributor.author	Paul, A
dc.contributor.author	Shukla, N https://orcid.org/0000-0002-8421-3972
dc.contributor.author	Paul, SK
dc.contributor.author	Trianni, A https://orcid.org/0000-0002-1699-7787
dc.date.accessioned	2021-06-29T06:28:43Z
dc.date.available	2021-06-29T06:28:43Z
dc.date.issued	2021-06
dc.identifier.citation	Sustainability, 2021, 13, (13), pp. 7104-7104
dc.identifier.issn	2071-1050
dc.identifier.uri	http://hdl.handle.net/10453/149780
dc.description.abstract	<jats:p>Multi-criteria decision-making (MCDM) methods are smart tools to deal with numerous criteria in decision-making. These methods have been widely applied in the area of sustainable supply chain management (SSCM) because of their computational capabilities. This paper conducts a systematic literature review on MCDM methods applied in different areas of SSCM. From the literature search, a total of 106 published journal articles have been selected and analyzed. Both individual and integrated MCDM methods applied in SSCM are reviewed and summarized. In addition, contributions, methodological focuses, and findings of the reviewed articles are discussed. It is observed that MCDM methods are widely used for analyzing barriers, challenges, drivers, enablers, criteria, performances, and practices of SSCM. In recent years, studies have focused on integrating more than one MCDM method to highlight methodological contributions in SSCM; however, in the literature, limited research papers integrate multiple MCDM methods in the area of SSCM. Most of the published articles integrate only two MCDM methods, and integration with other methods, such as optimization and simulation techniques, is missing in the literature. This review paper contributes to the literature by analyzing existing research, identifying research gaps, and proposing new future research opportunities in the area of sustainable supply chain management applying MCDM methods.</jats:p>
dc.language	en
dc.publisher	MDPI AG
dc.relation.ispartof	Sustainability
dc.relation.isbasedon	10.3390/su13137104
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	12 Built Environment and Design
dc.title	Sustainable Supply Chain Management and Multi-Criteria Decision-Making Methods: A Systematic Review
dc.type	Journal Article
utslib.citation.volume	13
utslib.for	12 Built Environment and Design
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Business
pubs.organisational-group	/University of Technology Sydney/Faculty of Business/Management Discipline
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - CAMGIS - Centre for Advanced Modelling and Geospatial lnformation Systems
pubs.organisational-group	/University of Technology Sydney/Strength - PERSWADE - Centre on Persuasive Systems for Wise Adaptive Living
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Information, Systems and Modelling
utslib.copyright.status	closed_access	*
pubs.consider-herdc	true
dc.date.updated	2021-06-29T06:28:41Z
pubs.issue	13
pubs.publication-status	Published
pubs.volume	13
utslib.citation.issue	13

Abstract:

Multi-criteria decision-making (MCDM) methods are smart tools to deal with numerous criteria in decision-making. These methods have been widely applied in the area of sustainable supply chain management (SSCM) because of their computational capabilities. This paper conducts a systematic literature review on MCDM methods applied in different areas of SSCM. From the literature search, a total of 106 published journal articles have been selected and analyzed. Both individual and integrated MCDM methods applied in SSCM are reviewed and summarized. In addition, contributions, methodological focuses, and findings of the reviewed articles are discussed. It is observed that MCDM methods are widely used for analyzing barriers, challenges, drivers, enablers, criteria, performances, and practices of SSCM. In recent years, studies have focused on integrating more than one MCDM method to highlight methodological contributions in SSCM; however, in the literature, limited research papers integrate multiple MCDM methods in the area of SSCM. Most of the published articles integrate only two MCDM methods, and integration with other methods, such as optimization and simulation techniques, is missing in the literature. This review paper contributes to the literature by analyzing existing research, identifying research gaps, and proposing new future research opportunities in the area of sustainable supply chain management applying MCDM methods.

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http://hdl.handle.net/10453/149780