An integrated grey-based multi-criteria optimisation approach for sustainable supplier selection and procurement-distribution planning

Nidhi Bhayana, K. Gandhi, Akansha Jain, J. Darbari, P. Jha
{"title":"An integrated grey-based multi-criteria optimisation approach for sustainable supplier selection and procurement-distribution planning","authors":"Nidhi Bhayana, K. Gandhi, Akansha Jain, J. Darbari, P. Jha","doi":"10.1504/IJAOM.2021.113665","DOIUrl":null,"url":null,"abstract":"Increasing pressure from government and stakeholders has led manufacturing companies to initiate sustainable practices into their supply chains (SCs). Integrating practices like sustainable supplier selection, performance-based order allocation and carbon efficient distribution planning can immensely improve companies' sustainable image and hence provide a competitive edge. The current study focuses on the development of an integrated two-stage multi-attribute optimisation model to discuss these issues. In first stage, Decision-Making Trial and Evaluation Laboratory (DEMATEL) technique based on grey numbers along with grey relational analysis (GRA) is utilised to evaluate suppliers' performance based on influential attributes. In the second stage, a multi-objective optimisation model was developed to optimise system's total cost, carbon emission and total value of purchasing (TVP) while contemplating delivery time windows. Weighted goal programming approach is utilised further for obtaining trade-off among multiple objectives. To validate the effectiveness of proposed methodology, a case study of an electronics company is considered.","PeriodicalId":191561,"journal":{"name":"Int. J. Adv. Oper. Manag.","volume":"106 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Adv. Oper. Manag.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJAOM.2021.113665","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

Increasing pressure from government and stakeholders has led manufacturing companies to initiate sustainable practices into their supply chains (SCs). Integrating practices like sustainable supplier selection, performance-based order allocation and carbon efficient distribution planning can immensely improve companies' sustainable image and hence provide a competitive edge. The current study focuses on the development of an integrated two-stage multi-attribute optimisation model to discuss these issues. In first stage, Decision-Making Trial and Evaluation Laboratory (DEMATEL) technique based on grey numbers along with grey relational analysis (GRA) is utilised to evaluate suppliers' performance based on influential attributes. In the second stage, a multi-objective optimisation model was developed to optimise system's total cost, carbon emission and total value of purchasing (TVP) while contemplating delivery time windows. Weighted goal programming approach is utilised further for obtaining trade-off among multiple objectives. To validate the effectiveness of proposed methodology, a case study of an electronics company is considered.
基于灰色的多准则优化方法在可持续供应商选择和采购分配规划中的应用
来自政府和利益相关者的压力越来越大,导致制造公司在其供应链(sc)中开始实施可持续实践。整合可持续供应商选择、基于绩效的订单分配和碳效率分配计划等实践可以极大地改善公司的可持续形象,从而提供竞争优势。目前的研究重点是开发一个集成的两阶段多属性优化模型来讨论这些问题。在第一阶段,利用基于灰色数的决策试验与评价实验室(DEMATEL)技术和灰色关联分析(GRA)技术,基于影响属性对供应商绩效进行评价。在第二阶段,建立了多目标优化模型,在考虑交货时间窗口的情况下,对系统的总成本、碳排放和总采购价值(TVP)进行了优化。进一步利用加权目标规划方法求解多目标间的权衡问题。为了验证所提出的方法的有效性,考虑了一个电子公司的案例研究。
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:481959085
Book学术官方微信