The Simulation Research On Inventory Control Of Distribution System Based On Customer Segmentation

The inventory control of distribution system is the important decision-making problem. Effective inventory control strategy can save inventory costs, eliminate and avoid the sales fluctuations. Therefore inventory control has been widespread concerned and become a hotspot in the distribution system management study.In the operation of enterprise, most enterprises have taken the customer's importance and the loyalty in account. However, in the theoretical study, few scholars model customer segmentation for consideration. Establishing the inventory model of distribution system based on customer segmentation in order to obtain the optimal inventory control strategy would be some guidance to the inventory operation of distribution. At the same time, it can also provide useful complement for the theoretical research.This paper establishes the inventory control of distribution system in the diverse customer needs environment, and realizes it with the simulation software of Arena. It also has been applied in an actual enterprise to bear out that the model can find the optimal inventory control strategy.First, the concept and calculation method of customer service level based on customer segmentation are advanced through computing the customer lifetime value. The calculation method of safety stock is amended through introducing the factor of customer/product factor.Secondly, the need and advantages of using simulation method to resole the inventory control problem in the multi-product environment are analyzed. And the simulation model of inventory control in multi-product distribution system is established and realized with Arena.Thirdly, regarding a typical company as the background, the mode is simulated. The result indicates that the simulation model can find the optimal inventory control strategy subjected to stated customer service level.Through the combination of the research and simulation, draw the conclusion: the simulation model can be used to find optimal strategy that is content with the enterprise.