| With the industrialization of the collection and remanufacturing of construction machinery, the closed loop logistics system for remanufacturing has received increasing attention. The major differences between traditional forward logistics system and closed loop logistic system are the unbalance of supply and demand, highly uncertainty and complexity. The traditional forward logistics network and information system cannot undertake the closed loop logistics activities. Therefore, it is necessary to design the closed loop logistics network and the information system for construction machinery remanufacturing.In this paper, by means of analyzing the remanufacturing process of the construction machinery, we proposed the model to design the closed loop logistics network for construction machinery remanufacturing. The added facilities, dismantling& assembling center, separated the preliminary dismantling and the assembling of construction machinery from the remanufacturing of components, such as cylinders. The functional segmentation made it for the closed loop logistics network to be operated economically. After relaxing the constraint, we adopted the Genetic Algorithm to solve this model. The accuracy of the method was verified by the case study.We extended the model for the closed loop logistics network to an uncertainty one based on the theory of generalized interval. The uncertainty model was solved by the generalized interval oriented genetic algorithm. Three comparison methods, max-min criterion, max-max criterion and Laplace criterion, were applied in this genetic algorithm. It was concluded that the decision-maker can adopt the solution of max-max criterion when the economic was in a fragile state. Otherwise, we suggested that the decision-maker adopt the solution of max-min criterion and Laplace criterion. The solutions obtained in uncertain model are superior to the solutions obtained in certain models.Based on the proposed model in this paper, we developed the module to assist the decision makers designing the closed loop logistics network. The module can achieve functions which included the management of the facilities and the design of the closed loop logistics network. We offered a decision tool to realize the application of the closed loop logistics model. |