Third-party Reverse Logistics Supplier Optimization Method Based on TFN-AHP and Entropy Combination Model

Abstract

On the basis of analyzing the advantages of the third-party reverse logistics, this paper proposed a new modeling method of combining TFN-AHP and entropy aiming at the hot issues of third-party reverse logistics supplier selection. The model comprehensively considered the advantages of subjective and objective weightings, introducing a concept of triangular fuzzy numbers (TFN) in the evaluating process, which could overcome the inherent flaws of traditional analytic hierarchy process (AHP). This method can determine the third-party reverse logistics supplier evaluation indicators system scientifically and solve the supplier optimization problem, owning a high credibility.