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With the increasing formation of world economic integration and globalization of markets , supply chain management has become a modern enterprise management mode . In the supply chain , distribution is a very important part of the supply chain management , it is not only a sign to measure the level of supply chain management , and the key factors that determine the competitiveness of the supply chain . Therefore, in the environment of the supply chain , it is reasonable to establish and optimize the distribution network , to strengthen the management of the distribution process , improve customer satisfaction , an important way to enhance the competitiveness of enterprises . In the traditional distribution network optimization model , most of the assumptions involved in the distribution network demand , transport time to a known constant , and rarely the total cost of the various factors that affect the distribution network from the perspective of supply chain integration comprehensive analysis . But in practice, the factors affecting distribution network optimization is uncertain, and these factors have contact . Therefore, under conditions of uncertainty , inventory costs, shortage costs , transportation costs, facility costs , service levels and other relevant factors integrated application to the selection process of the distribution network , siting facilities in the supply chain distribution network , inventory control and integrated transportation management optimization, the costs to balance the distribution network , the distribution network to achieve optimal overall . The paper detailed analysis of the supply chain distribution network optimization strategies and cost factors , established under Stochastic Demand Inventory Control - based distribution network optimization model and the model is extended . Using an improved genetic algorithm to solve the model , the establishment of an efficient encoding , reduce the storage space of the chromosome . Through improved adaptive crossover and mutation probability , rational design of genetic operators , effectively avoid the premature of the algorithm , to improve the operating efficiency of the algorithm . Finally, an example to verify the distribution network optimization model and the feasibility and effectiveness of the algorithm . In this paper , the optimization of supply chain distribution network design can promote enterprises to strengthen the coordination and management of the production - distribution chain , effectively reduce the cost of production and distribution process , and provide some strategic and tactical decision support for enterprises .
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