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

TL;DR

This paper introduces a hybrid fuzzy DEMATEL-TODIM method to evaluate and rank knowledge management criteria in Iran's supply chain, addressing uncertainty with fuzzy data and providing a structured decision-making approach.

Contribution

It proposes a novel hybrid fuzzy DEMATEL-TODIM approach for ranking KM criteria in supply chains, integrating expert opinions and fuzzy data to improve decision accuracy.

Findings

The method successfully ranks KM criteria in supply chains.

Fuzzy data handling reduces uncertainty in evaluations.

The approach aids managers in prioritizing KM initiatives.

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