Zenat Ahmed, Amal F. Abdel Abdel-Gawad, Mahmoud M. Ismail
{"title":"Towards Sustainable Supply Chain Management: A MCDM Framework","authors":"Zenat Ahmed, Amal F. Abdel Abdel-Gawad, Mahmoud M. Ismail","doi":"10.54216/jsdgt.020202","DOIUrl":null,"url":null,"abstract":"This paper proposes a novel Multi-Criteria Decision Making (MCDM) framework for sustainable supply chain management. The framework addresses the challenges of evaluating and selecting suppliers based on sustainability criteria, optimizing logistics operations, and making sustainable decisions within the supply chain. Through a comprehensive case study, the effectiveness of the proposed framework is demonstrated. The results show that the framework provides a structured and systematic approach for evaluating supplier sustainability performance and supporting decision-making. The framework integrates established MCDM techniques, such as Analytic Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), while accommodating the unique requirements of supply chain sustainability. The findings highlight the advantages of the proposed framework, including its ability to handle uncertainties, incorporate multiple criteria, and facilitate informed decision-making for sustainable supply chain management.","PeriodicalId":117695,"journal":{"name":"Journal of Sustainable Development and Green Technology","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Sustainable Development and Green Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.54216/jsdgt.020202","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper proposes a novel Multi-Criteria Decision Making (MCDM) framework for sustainable supply chain management. The framework addresses the challenges of evaluating and selecting suppliers based on sustainability criteria, optimizing logistics operations, and making sustainable decisions within the supply chain. Through a comprehensive case study, the effectiveness of the proposed framework is demonstrated. The results show that the framework provides a structured and systematic approach for evaluating supplier sustainability performance and supporting decision-making. The framework integrates established MCDM techniques, such as Analytic Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), while accommodating the unique requirements of supply chain sustainability. The findings highlight the advantages of the proposed framework, including its ability to handle uncertainties, incorporate multiple criteria, and facilitate informed decision-making for sustainable supply chain management.