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A New Fuzzy DEMATEL-TODIM Hybrid Method for evaluation criteria of Knowledge management in supply chain

2014/07/11 by Mahdi Mahmoodi, Mahmoodi, Mahdi, Gelayol Safavi Jahromi +1
Computer Science · #FOS: Computer and information sciences #Other Computer Science (cs.OH) #cs.OH

paper · pdf · doi:10.48550/arxiv.1407.3657

arxiv created 2014/07/11 · arxiv updated 2014/07/15

Abstract

Knowledge management (KM) adoption in the supply chain network needs a good investment as well as few changes in the culture of the entire SC. Knowledge management is the process of creating, distributing and transferring information. The goal of this study is to Rank KM criteria in supply chain network in Iran which is important for firms these days. Criterion used in this paper were extracted from the literature review and were confirmed by supply chain experts. The proposed approach for ranking and finding out about these criterion is hybrid fuzzy DEMATEL-TODIM, with using fuzzy number as data for our studies we could avoid uncertainty. The data was gathered from PhD. And Ms. Students in industrial engineering of Kharrazmi university of Tehran and PhD. And Ms. Students of the management department of Semnan university. A new hybrid approach was used for achieving the results of this study. This new hybrid approach ranks data criteria respect to each other, then by using TODIM for ranking respect to the best situation (gains), the rates of criterion were determined which is a very important advantage

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