Identifying the Best Method for Using Knowledge Management in Supply Chain Using Fuzzy Logic

Ali Mohaghar, Neda Rajabani, Mohammad Karimi Zarchi, Mohammad Reza Fathi

Abstract


In today’s competitive business environment, supply chains must respond rapidly to changing customer demands. Knowledge is one of the most decisive factors capable of offering competitive advantages for supply chain partners. The purpose of this paper is applying a new integrated method to selecting the best solution of knowledge management adoption in supply chain. Proposed approach is based on Fuzzy AHP and TOPSIS methods. Fuzzy AHP method is used in determining the weights of the criteria by decision makers and then selecting solution of knowledge management are determined by TOPSIS method. A real case demonstrates the application of the proposed method.


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