A Durable Goods Manufacture's Dynamic Quality Optimal Decision Based On Demand Change With Time And Price

Competition in manufacturers has changed from that between individual manufacturers to competition between different supply chains. Therefore quality chain management has changed its focus from inner management to quality control in all products on the supply chain. In addition, due to fast updating rate of products and rapid development of individual company, it has practical meaning to investigate dynamic optimum decisions for different product development stages.Hamilton's dynamic optimum decision model is employed for judgment on dynamic trend of continuous issues. Compared to maximum and minimum principle for solving static optimum result, this method could be used to decide optimum trend at different stages of product development, and has more operability.Based on previous research on static studies, referencing on supply chain contract decision parameters, and on depend of Hamilton's dynamic optimum decision method, this research has first built a dynamic optimum decision model for long lasting product industry with which demand changing by time and has proved corresponding results. Then, it has set up a dynamic optimum decision model for long lasting product industry of which demand changes by time and quality and has proved corresponding modified results. At last this paper has conducted a simulation calculation and analyzed corresponding results depending on the model.Tasks of this paper are:(1) Summarize and analyze manufacturers Hamilton dynamic optimum model.(2) Set up "dynamic optimum decision mode for long lasting product industry with its demand changing by time". Prove corresponding results and analyze their economical practical significance.(3), Based on the "dynamic optimum decision mode for long lasting product industry with its demand changing by time", considering the "dynamic optimum decision mode for long lasting product industry with its demand changing by time, quality and price, proving corresponding results and analyze their economical practical significance.(4) Make a simulation calculation depending on the modified results and analyze practical economic meaning of relative parameters.