Research On Optimization Model For Distribution Network Based On High-Tech Product Life Cycle

High-tech industry is not only the engine of future economic development, but also the key point which all countries competing for in the economic field. Therefore, the high-tech industries play a more and more important role in the context of economic globalization. Confronting the circumstances such as increasingly intense market competition; ever-increasing uncertainty of user demand; shorter product life cycle and more complicated product structure, high-tech enterprises in china become an important research hotspot for internal researchers on how to have the advantage in competition.A large number of examples show that the optimization of supply chain structure can often reduce the logistics cost by 5%-10%. Distribution network is an important part of supply chain. Its design quality determines both the level of logistics cost and the level of whole supply chain service. However, facts prove that some operation results of supply chain are not satisfactory in the face of complex market environment. One of the important reasons is the mismatch between supply chain distribution mode and product competitive strategy.Optimization model for distribution network based on product life cycle integrates the product life cycle stages into the supply chain distribution network design. It changes the past fixed pattern of distribution network structure (factory to distribution center, and distribution center to market) by making dynamic switching according to the change of product market competitive strategy stage. That is to say, according to different product competitive characters in different life cycle stage, it chooses matchable distribution network. The major points of the full paper are as follows:(1) By refining a large number of summary relevant literatures, the researching achievements of domestic and foreign supply chain distribution network design are reviewed comprehensively in this dissertation, and then the idea of the dissertation is presented.(2) The matching relation of staged supply chain mode within the life cycle of high-tech product is put forward. Based on this, continuous respond time expression within the life cycle of products is established, and deduction and proof are given.(3) The optimization model of single-product multi-stage distribution network under certain environment is established. The potential storage location and transport mode of all stages are set to 0-1 variables in this model. The logistics volumes on the various paths are set as continuous decision variables. Consequently the MINLP model of this problem is established. Its goal is obtaining the optimum profitability during the life cycle of products under certain constraint conditions.(4) The optimization model of single-product multi-stage distribution network under uncertain environment is established. The production cost\time, transportation cost\tine, out-of-stock cost, sales price, respond time, and other factors in all stages of product life cycle are comprehensively considered in this model. Random optimization model with multi-plant, multi-distribution centre and multi-market with the optimization goal of maximum profit is established.(5) A network optimization model integrating the satisfactions of customers from all stages is established. The satisfaction degree of customers from all stages is integrated in the logistics cost structure. On the basis of comprehensively considering the production cost, transportation cost, warehouse cost and sales price of the products in different stages of product life cycle, a dynamic optimization model based on the satisfaction degree of customers is established.(6) A network optimization model with the coexistence of old and new products is established. The coexistence of new and old products is the main feature of high-tech products during the replacement period. The product demand will be firstly divided into initial requirements, core requirements and actual demand in this model, and then the influences to the production, transportation and storage of new and old products within the entire replacement period by the product's respond time, price and substitution rate are comprehensively considered.