| Summary: | 碩士 === 中原大學 === 資訊管理研究所 === 101 === Product of down is a kind of mixtures consisting of down and feather in different grades. The proportion of down and feather is very critical. Also, stocks on site, quality of stocks, and the cost of production will be the most important factors for designing the recipe of production. Now, the production recipes all depend on the practical experiences of management staffs in the factory. Based on the collected data of production recipes, it reveals the issues of the production recipe design without a common sharing knowledge base. Lacking of the knowledge support during the design stage of recipe, it may directly lead poor design and cause further issues in production, such as inflexible plan of production, over/insufficient stocks, and poor quality management of the product. Enterprise need take care of these issues and these issues will generate extra costs, time, and some other enterprise resources. These issues are the risks of management and business. This research is to provide a solution for the issue of recipe design of down industry. By using the methodology of knowledge engineering, a knowledge base will be built based on the core of ontology. The research will illustrate how to use expert system to facilitate the design of production recipe. With providing requirements of product quality, the expert system will be used to find the optimal proportion of down and feather for the product. Management staffs can use expert system as a platform to increase the efficiency of communication and knowledge transfer.
|
|---|
