MCDM Computational Approaches for Green Supply Chain Management Strategies

Anand Jaiswal, Pushpa Negi, Nripendra Singh
{"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.
绿色供应链管理策略的MCDM计算方法
由于全球污染状况引起的日益严重的环境问题,加强了在技术、工程和管理的各个方面采取生态有效战略的需要。这也需要在组织中纳入环境友好的绿色供应链实践。绿色供应链管理(GSCCM)问题包括多个相互冲突的参数,如污染产生、成本、质量、时间等。为了在GSCM中找到这种冲突多准则问题的理想解决方案,研究人员经常使用不同的多准则决策(MCDM)计算。本研究概述了绿色供应链领域中各种MCDM计算方法及其在不同问题上的可用性。该研究对使用不同MCDM计算方法的最新研究文章进行了深入分析。本文对绿色供应链问题下的各种问题进行了分类,并结合最近的文献研究讨论了MCDM计算方法在绿色供应链问题上的应用。最后,针对GSCM问题,对不同的MCDM计算方法进行了SWOT分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信