Fixed Amount Of Parts In The Automobile Manufacturing Companies In Order To Study

In recent years, the domestic auto industry is in a state of development of rapid rise. The domestic auto industry competition is very fierce, though China has become the largest auto production and sales in the global market. In particular, with the economic crisis broke out in 2008, auto enterprise deeply care much about internal inventory management, especially in previously ignored and blind spots, which in the eyes of auto enterprises have became an important Profit.In many parts of the vehicle factory production required, a kind of parts as screw, module, engines are very different from other parts. Consumption of these parts such as glue and adhesive tapes, balancing block components does not define quantity per car. They are assembled at random only based on the practical situation. These parts are influenced by equipment, technology, the operator working habits, temperature and humidity and even on other uncertain factors. Due to many of these parts attribute to chemicals, they usually have a short life cycle.The vehicle plant can't to order these AR parts by routine because of the characteristic of AR parts, Stochastic Demand and short life cycle. AR parts can't participate in MRP due to unfixed usage in E-BOM. It can be said that this type of AR parts are independent of the normal order system of logistics. They do not depend on the system entirely by hand, with its experience and order and management.The characteristic of AR parts and obsolete Ordering bring the follow difficulties to enterprises:●High Inventory●High Scrape Rate●High Stock out Risk●Supply Chain Bullwhip EffectI will deeply analysis the AR parts inventory and ordering data of a well-known auto enterprise and study the AR parts by classification in this paper. It is feasible to use statistical methods to probe AR parts and vehicle production in mathematical relationship and established relevant mathematical model. It is important to pay attention to combine optimization of mathematical model and enterprise logistics system in order to capture an AR parts ordering solution for auto enterprise by scientific methods.