Selection of Optimal Third-party Logistics Recycler Based on Fuzzy DEA

摘要

Selection of appropriate third-party logistics recycler in closed loop supply chain management strategy (CLSCMS) is a challenging issue because it requires a lot of evaluation criteria/attributes, which are characterized with complexity, elusiveness, and uncertainty in nature. This paper proposes a fuzzy confidence DEA evaluation model to assist the expert group to select the optimal third-party logistics recycler in CLSCMS. A case manufacturing firm is studied and the results indicated that the proposed evaluation model is simple, reasonable and effective to determine the optimal third-party logistics recycler. This fuzzy confidence DEA evaluation model provides a complete picture in CLSCMS contexts to both researchers and practitioners.