Research On Collaborative Forecasting And Replenishment On The Business Collaborative System Of Auto Parts

With the development of the global science and technology and economic, market competition around the products is more fiercer. The manufacturing enterprises began facing some new challenges which are relate to their survival and development. Enterprises in the fierce competition of global market are forced to face a rapidly changing and increasingly unpredictable needs of the buyer’s market and the personalized and diversified consumers. The original management thinking has not fully meet the new competitive situation. In this competitive environment, a product often involve multiple enterprises in its design, manufacturing, testing,and transportation.So enterprises in the new situation should strengthen mutual trust, share information and deal complex problem in a collaborative manner.In the article, Analyze the situation of the auto parts, sum up the problems which the parts facing:Supply Chain Collaboration is not high; forecast is not accurate enough; high logistics costs; enterprises geese are swans, information sharing is not high. Introduce CPFR management technology, it is built on the basis of practice on VMI and JMI, abandoned VMI and JMI’s main drawbacks.it have great help for supply chain partners to enhance mutual trust, reduce inventory, improve forecast accuracy. In this paper, Ⅰ study the supply chain management under CPFR mode and applied it to a parts enterprise, designed the system architecture and a collaborative forecast model, optimize the business processes.the collaborative forecast model can provide a reference for dealers so that the supply chain can reduce their inventory costs.In the article, on the detailed analysis of the supply chain needs and business processes of parts enterprise, apply the collaborative thinking, the whole system is divided into platform system and internal system. Parts enterprise and dealers interact by platform, dealers can entry orders on platform, then exchange into internal system to process, and then exchange to platform to share with dealers, so that the enterprise and the dealers can achieve the collaborative goal, so as to the purpose of reducing the inventory.