The Location-allocation Problem Research In Cloud Logistics Based On Collaborative Inventory And Covering

Under the global economy, competition and cooperation among the enterprises become a normal state, but enterprises hope to make full use of resources to reduce the production cost and make customers satisfy. For this purpose, along with the new IT technology development, such as high performance computing and Internet of things etc., a new manufacturing mode was formed, namely cloud manufacturing. Cloud manufacturing mode connect all sorts of manufacturing resources and capability together and form standard manufacturing services which customers can obtain according to their demand at any time. Meanwhile, this kind of manufacturing service is safe and reliable; good quality with low price; green and low carbon. Logistics mode should coincide with manufacturing mode for the certain correlation between logistics and manufacturing process, so the production and development of cloud manufacturing mode had the logistics mode reformed. In2010, Alibaba invested "Star Express" who is a private logistics company indicated that logistics has formally entered into a new era. The location, as an important part for enterprise's management and decision-making, ensures the success of company's strategies. Therefore right decision of location will not only influence the construction cost of facilities, but also affect enterprise's future operation cost and competition. Thus how to decide the right location and optimize the allocation of resources in cloud logistics mode has very important theoretical significance and practical value, and is also important for company's survival and development in competition. This paper hopes to do some useful research and exploration in this field.Firstly, the paper introduced the study backgrounds and significance; described classical models of something about location-allocation and fundamental principles and application skills of heuristics algorithms that are frequently used; summarized some shortcomings and insufficiency in the previous research, which was based on analysis of domestic and foreign references.Secondly, we studied the concept, system framework and key technology of cloud logistics mode, put forward collaborative inventory system under cloud logistics mode. Then we pointed out that cloud logistics is a new logistics mode which can make a variety of logistics resources and capabilities virtualization, servicization and integrated and intelligent management and operation, and service for different customers in order to achieve efficient coordination and win-win. Collaborative inventory system is an inventory management method under cloud logistics mode, which emphasized the virtual integration of resources in logic and unified optimization. The purpose is to improve resource utilization rate and reduce enterprise logistics cost. The concept of cloud logistics and collaborative inventory system is a theoretical foundation for the following location-allocation model.Thirdly, in the cloud logistics mode and collaborative inventory system, location-allocation model was respectively constructed on basis of set covering location and maximal coverage location. The models solved the problem about location of distribution center and collaborative allocation in demand. Then, we expanded the model in the following three aspects:the time and capacity constraints, the needs priority of single products; the uncertain demand. We also designed the hybrid heuristic algorithm based on GA-PSO, in which the improved GA solved the location problem of discrete space and the improved PSO solved the collaborative allocation of continuous space in demand. Through Benchmark test, we certified the feasibility and effectiveness of algorithm; Through real data test, three groups simulation data tests of different problems and comparison test with LINGO, we certified the advancement of location-allocation scheme in the cloud logistics mode; Through data sensitivity analysis, we put forward the strategy of location-allocation scheme in cloud logistics mode.Finally, we concluded the whole content of this paper and presented direction for further studies.