Fuzzy Evaluation on Supply Chains’ Overall Performance Based on AHM and M(1,2,3)

Abstract

To effectively measure supply chain performance is one of the most important aspects for supply chain management, which can help decision makers analyze the historical performance and current status, and can help them set future performance targets. We firstly base on the Supply Chain Operations Reference-model (SCOR-model) to construct an index system for evaluating the supply chains’ overall performance, and then use Analytic Hierarchical Model (AHM) to determine the weight of every index in the system. In order to effectively evaluate the supply chains’ overall performance, we define the distinguishable weight to eliminate the redundant index data and extract valid values to compute object membership. Lastly, we use an example to illustrate the effectiveness of the proposed approach, whose results show that the combined model could effectively evaluate supply chains’ overall performance and identify improvement aspects.