| Chinese economy is now in a high-speed development period, during which various enterprises are in perfect competitive markets. However, because of the barrier of monopolization policy, China acetate cellulose fiber industry is actually in planned economic system, living in an imperfect competitive market. It brings a serious inferior that is high unit cost. China Joining WTO will weaken the barrier gradually, so China acetate cellulose fiber industry will face much powerful competition. To survive in the severe competition, acetate cellulose fiber plants have to lower production costs, take preventive measures to risk to improve the competitive strength, and make the plant on a leading position in the industry.Production costs consists with different kinds of costs, most of which fluctuate within a fixed range. However, as the biggest part of the production costs, the raw materials make the production cost vary greatly because of the price fluctuation. Consequently, it is the company’s key concern of Kunming Cellulose Fibers Co., Ltd. that how to reduce manufacture cost through finding out the most economic operation mode and purchasing materials with valley prices.Through specific analysis on operation practice, this thesis proves that the company can find out the most economic operation mode through financial analysis tools. Moreover, through the neural network that has the characteristics of nonlinearity, fault-tolerance and adaptivity, which can simulate the price trend of production materials, and forecast future prices through its powerful generalization as well, so that to find out the price valley in the fluctuation. This thesis tries to find out a way to reduce production cost through operation analysis and introducing the neural network into the forecast and research on production material prices. It proves that the two approaches can help company to reduce production cost, so that to improve strength of competition. |
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