Multi-Criteria Decision Making as A Tool to Measure Supply Chain Sustainability
Publish place: International journal of industrial engineering and operational research، Vol: 6، Issue: 1
Publish Year: 1403
نوع سند: مقاله ژورنالی
زبان: English
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Abstract:
The quest for sustainable supply chain management (SSCM) necessitates evaluating and optimizing practices across environmental, social, and economic (ESE) dimensions. This complexity demands robust decision-making tools that can handle multiple, often conflicting, criteria. Multi-Criteria Decision Making (MCDM) methods present themselves as powerful tools for this task. This paper delves into the application of MCDM for measuring supply chain sustainability. It reviews existing literature to understand the diverse MCDM methods employed, their strengths and limitations, and their effectiveness in various SSCM contexts. Additionally, the paper outlines a generic methodology for implementing MCDM in this context, followed by an illustrative case study demonstrating its application. Finally, it concludes by emphasizing the potential of MCDM while acknowledging the need for further research and refinement.The quest for sustainable supply chain management (SSCM) necessitates evaluating and optimizing practices across environmental, social, and economic (ESE) dimensions. This complexity demands robust decision-making tools that can handle multiple, often conflicting, criteria. Multi-Criteria Decision Making (MCDM) methods present themselves as powerful tools for this task. This paper delves into the application of MCDM for measuring supply chain sustainability. It reviews existing literature to understand the diverse MCDM methods employed, their strengths and limitations, and their effectiveness in various SSCM contexts. Additionally, the paper outlines a generic methodology for implementing MCDM in this context, followed by an illustrative case study demonstrating its application. Finally, it concludes by emphasizing the potential of MCDM while acknowledging the need for further research and refinement.
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Authors
Elnaz Hesami Naghshbandi
Department of Industrial Engineering, Arak Branch, Islamic Azad University, Arak, Iran