Study On The Evaluation Of Reverse Logistics Provider Based On FCM Method

As more and more critical problem on environment appearing and the restrict government law introducing, and the pursuit of profit of the enterprises of their own, people begin to pay more attention to build the closed-loop supply chain through reverse logistics to make a good performance. Enterprises are able to reduce production costs and get more profits by the utilization of renewable resources when implementing closed-loop supply chain. Except that, they can realize the sustainable development of economy and resources. Organizing a closed-loop supply chain which cover the whole product life cycle, is not only required by environment protection and corporate responsibility of external needs, but also the internal demand converting from traditional economy to cycling economy. In order to enhancing the enterprises'core capability, outsourcing the business of reverse logistics is a good choice for enterprises to implement closed-loop supply chain management. So the main purpose of this article is to illustrate the problem that how to choose the reverse logistics provider properly.Firstly, the thesis explains the background of reverse supplier evaluation. With these conditions, closed-loop supply chain becoming a new trend, and reverse logistics containing complexity and diversity of features, reverse logistics supplier evaluation and selection should be made depth study of.Secondly, this study describes the current situation of the closed-loop supply chain research, and demonstrates the embranchment of this paper belongs to. Then it makes an explicit explanation on detail for the existing literature and the achievements which prepares for literature reference and ideas in next step. In the end of this chapter showing the approach of the fuzzy cognitive maps(FCM), describe it in several aspects like the it's extension, related training arithmetic and its usage. It provides a theory foundation for the evaluation of reverse logistics provider based with FCM.Then, we organize a reverse logistics supplier evaluation system based on FCM, and build an evaluation model for reverse logistics supplier. In condition the situation of which enterprise completely outsourcing their reverse logistics functions to the business providers, the ability of callback manufactured products for reverse logistics providers and further processing capacity became vital important index. The FCM model which highlights the influence among the decision criteria will provide more accurate criteria weight, and optimize the choice base on completely reverse logistics. Besides, it shows the rationality and effectiveness of the FCM model through mathematical example. At last, the thesis studies the other model, which enterprises outsource part of the reverse logistics. This is also a transitional choice before completely outsourcing. With this model this chapter creates an incompletely criteria system for reverse logistics provider evaluation. That demonstrates the cooperation ability of the provider became a vital criteria when enterprises only outsource logistics and warehouse business. And then organizes an evaluation model with FCM, this model is represented in arithmetic standpoint. This paper specifies the weight of criteria used in reverse logistic evaluation through this chapter, which gives a strong support on making a good choice on reverse logistic provider. And in the end it also verifies the theory with a mathematical instance.