In this paper, we established a more comprehensive performance evaluation system of reverse logistics which contains multiple indices such as economic effect, environmental effect, social effect, technical strength, the levels of information, as well as the rates of resource utilization. We used the triangular fuzzy number and fuzzy AHP model to determine the weight of each index, and the fuzzy comprehensive evaluation model as the tool to calculate the score, and then studied empirically on the reverse logistics system of enterprises. The result shows the synthetic score of reverse logistics system and indicates that the enterprises lay special emphasis on different indices. They both provide the basis for improving the logistics performance and management of the enterprise.
展开▼
