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收集所有交通大學研究人員與學生個人或團體所發表之各項學術著作，涵蓋期刊論文、教師專書、學位論文等項。;;Collections of Publications of NCTU Researchers and Students Like Journal Papers and Thesis.

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🏛️國立陽明交通大學機構典藏

Author: search.filters.author.Chen, Ruey-ShunSubject: search.filters.subject.data warehouse

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    Design and implementation of an intelligent manufacturing execution system for semiconductor manufacturing industry
    (2006)
    Chen, Ruey-Shun
    ;
    Tsai, Yung-Shun
    ;
    Chang, Chan-Chine
    ;
    資訊管理與財務金融系 註：原資管所+財金所
    ;
    Department of Information Management and Finance
    This paper proposed an intelligent MES by integrating manufacturing execution system, data warehouse, online analytical processing and data mining system. The data warehouse for this system is provided by the massive amounts of data gathered from a MES. Through some process of integrating MES with data warehouses, data warehouses with decision analysis, and decision analysis with data mining systems. A three-tiered web-based systematic framework has been established. The result of this study is the integration of the MES and data mining system. According to experimental analysis, the product yield and the manufacturing cycle time all have been improved for manufacturing industry.
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    Using data mining technology to improve manufacturing quality - A case study of LCD driver IC packaging industry
    (2006)
    Chen, Ruey-Shun
    ;
    Yeh, Kun-Chieh
    ;
    Chang, Chan-Chine
    ;
    Chien, H. H.
    ;
    資訊管理與財務金融系 註：原資管所+財金所
    In recent year, because of the professional teamwork, to improve the qualification percentage of products, to accelerate the acknowledgement of product defects and to find out the solution, the LCD driver IC packaging factories have to establish an analysis mode for quality problems of product for more effective and quicker acquisition of needed information and to improve the customer's satisfaction for information system. The past information system used neural network to improve the yield rate of production. In this research employs the star schema of data warehousing as the base of line analysis, and uses decision tree in data mining to establish a quality analysis system for the defects found in the production processes of package factories in order to provide an interface for problem analysis, enabling quick judgment and control over the cause of problem to shorten the time solving the quality problem. The result of research shows that the use of decision tree algorithm reducing the numbers of defected inner leads and chips has been improved, and using decision tree algorithm is more suitable than using neural network in quality problem classification and analysis of the LCD driver IC packaging industry.