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 |
|