| Our country is a major motorcycle producer. There are a lot of parts enterprises severing for motorcycle manufacturers. As lack of scientific theory, the managers have to make decisions by experiences or personal interest, which always leads to blindness. As a result, the company will be apt to die with long-time high inventory.Present researches mainly focus on inventory of supply chain or traditional inventory models. The former considers the core company in supply chain like motorcycle producer; the latter doesn't think about cooperation in supply chain. Therefore, it's necessary to find a new way to solve this problem. According to the special facts, this paper gives inventory solutions for motorcycle parts enterprises. The solution which is different from resent theories first payes an attention on supplyers in a supply chain. There are serval parts as follows:First, needs prediction. In this part, it introduces the methods on prediction, such as artificial neural and statistics forecasting. Then it gives a short-term tendency needs prediction algorithm based on exponential smoothing model. Simulative examples show that it, simple and convenient, could tracing over the newest changes, has high accuracy.Second, inventory distribution. After introducing theory of Linear Planning, it gives inventory distribution models for products and semi-finished products, which can further reduce the products inventory.Third, a new algorithm of LP. As the standand solution of LP, there are some disadvantages about Simplex. So it gives a new algorithm to solve Linear Planning, proves it, assess the algorithm performance.Fourth, the best due date. This part introduces the researches both at home and abroad. Then it gives a time-first best due date algorithm. It could either help making contractions or give suggestion on matching job plan of motorcycle industry.Fifth, a simulative system. This part introduces how to program the models and algorithms, which give this solution feasibility and reality.Finally, this paper gives a summary about the research and provides a further discussion about the future applications. |
