| Summary: | 碩士 === 逢甲大學 === 工業工程與系統管理學研究所 === 96 === In the time of rapid changes and highly developed technologies, a large variety of new products and techniques are invented every day. Among them, high-tech products are the most obvious. However, we observe two phenomena. One is the selling price of a high-tech product in the market does not always increase as its standards becomes higher. The other is the profitability of a company does not always increase as its products becomes the best sellers. Those phenomena can be connected to two trends. For sales, as the selling price of a high-tech product fluctuates violently, it may easily be lower as time goes by. For costs, as key components make up the main cost of a high-tech product, their prices may fluctuate constantly as new products and techniques are created. Therefore, if a company is able to control the price trends of products and key components, this can help to evaluate the developing directions of its products. Thus, this study provides a methodology to forecast selling prices of products and prices of key components by using artificial neural networks to establish an evaluation model, and take LCD TV as an example. It is hoped to help companies forecast and understand the relations between selling price and main cost of a product, and plan the developing directions of related products as soon as possible.
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