Consensus-Based Fuzzy TOPSIS Approach for Supply Chain Coordination: Application to Robot Selection Problem

In hotly competitive international industrial and economic environments, supply chain coordination (SCC) is one of active research topics in production and operation management. In this research work, we present a new consensus-based fuzzy TOPSIS approach for supply chain coordination problem. It is formulated as a multi-criteria group decision making (MCGDM) problem and solved by combining consensus-based possibility measure with TOPSIS method in a fuzzy environment. To demonstrate the applicability of the proposed approach, a simple example of robot selection problem is presented and the numerical results analyzed. Moreover, using the Levenshtein distance, the deviation between individual solutions and group solution is analyzed.