Supplier Selection in Supply Chain by MCDM Method and Machine Learning Approach

سال انتشار: 1401
محل انتشار: مجله بین المللی مهندسی صنایع و تحقیقات عملیاتی، دوره: 4، شماره: 1
کد COI اختصاصی: JR_BGS-4-1_003
زبان مقاله: انگلیسی
تعداد مشاهده: 48

نویسندگان

Faculty of Computer Science and Information System, Universiti Teknologi MARA (UiTM), Malaysia

چکیده

In today's highly competitive business environment, effective supplier selection plays a crucial role in the success of supply chain management. This paper aims to provide an in-depth analysis of supplier selection methodologies within the supply chain context, with a focus on Multi-Criteria Decision-Making (MCDM) methods. The study explores various MCDM techniques and their application in supplier selection, highlighting their benefits and limitations. Additionally, numerical results from a case study are presented to demonstrate the practicality and effectiveness of the MCDM approach. The findings of this research contribute to the existing body of knowledge on supplier selection methods and provide insights for supply chain managers.In today's highly competitive business environment, effective supplier selection plays a crucial role in the success of supply chain management. This paper aims to provide an in-depth analysis of supplier selection methodologies within the supply chain context, with a focus on Multi-Criteria Decision-Making (MCDM) methods. The study explores various MCDM techniques and their application in supplier selection, highlighting their benefits and limitations. Additionally, numerical results from a case study are presented to demonstrate the practicality and effectiveness of the MCDM approach. The findings of this research contribute to the existing body of knowledge on supplier selection methods and provide insights for supply chain managers.

کلیدواژه ها

MCDM, Supplier Selection, Supply Chain, Effectiveness

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