{"title":"MCDM Computational Approaches for Green Supply Chain Management Strategies","authors":"Anand Jaiswal, Pushpa Negi, Nripendra Singh","doi":"10.1109/ISCON57294.2023.10112124","DOIUrl":null,"url":null,"abstract":"Rising environmental concerns due to global pollution conditions have intensified the need for eco-efficient strategies in every aspect of technology, engineering and management. This also necessitated the incorporation of environment-friendly green supply chain practices in an organization. A green supply chain management (GSCCM) problem includes multiple conflicting parameters such as pollution generation, cost, quality, time and others. To find an ideal solution in such conflicting multi-criteria problems in GSCM, researchers often use different Multi-Criteria Decision Making (MCDM) computations. This study provides an overview of various MCDM computational approaches and its usability in different issues under green supply chain area. The study provides an in-depth analysis of available recent research articles that uses different MCDM computational approaches. Classification of various issues coming under green supply chain problems is provided in the study, and use of MCDM computational approaches over such issues is discussed relying on the recent literature study. The study, towards the end, provides a SWOT analysis for different MCDM computational approaches in reference to GSCM problems.","PeriodicalId":280183,"journal":{"name":"2023 6th International Conference on Information Systems and Computer Networks (ISCON)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 6th International Conference on Information Systems and Computer Networks (ISCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCON57294.2023.10112124","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Rising environmental concerns due to global pollution conditions have intensified the need for eco-efficient strategies in every aspect of technology, engineering and management. This also necessitated the incorporation of environment-friendly green supply chain practices in an organization. A green supply chain management (GSCCM) problem includes multiple conflicting parameters such as pollution generation, cost, quality, time and others. To find an ideal solution in such conflicting multi-criteria problems in GSCM, researchers often use different Multi-Criteria Decision Making (MCDM) computations. This study provides an overview of various MCDM computational approaches and its usability in different issues under green supply chain area. The study provides an in-depth analysis of available recent research articles that uses different MCDM computational approaches. Classification of various issues coming under green supply chain problems is provided in the study, and use of MCDM computational approaches over such issues is discussed relying on the recent literature study. The study, towards the end, provides a SWOT analysis for different MCDM computational approaches in reference to GSCM problems.