勤益科大機構典藏:Item 987654321/6313
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    Please use this identifier to cite or link to this item: http://ir.lib.ncut.edu.tw/handle/987654321/6313


    Title: An evaluation framework for product planning using FANP QFD and multi-choice goal programming
    Authors: 康鶴耀
    Contributors: 工業工程與(工程)管理系
    Date: 2009-06
    Issue Date: 2017-10-02 15:18:54 (UTC+8)
    Abstract: Technological innovation and satisfaction of customer needs are the keys to survival and success for firms, especially in global competitive high-tech industries. Since new products are usually a source of new sales and profits, the success of new product development (NPD) is essential to maintain a competitive edge and to make a decent profit in a longer term. Therefore, how to develop products that deliver the quality and functionality customers demand while generating the desired profits becomes an important task for the manufacturers. In this paper, a framework with two phases is constructed for facilitating the selection of engineering characteristics (ECs) for product design. In the first phase, quality function deployment (QFD) is incorporated with the supermatrix approach of analytic network process (ANP) and the fuzzy set theory to calculate the priorities of ECs with the consideration of the interrelationship among factors and the impreciseness and vagueness in human judgments and information. In the second phase, multi-choice goal programming model is constructed by considering the outcome from the first phase and other additional goals, such as NPD cost and manufacturability, in the attempt to select the most suitable ECs. A case study of the product design process of backlight unit (BLU) in thin film transistor liquid crystal display (TFT-LCD) industry in Taiwan is carried out to verify the practicality of the proposed framework. © 2010 Taylor & Francis. (36 refs)
    Relation: International Journal of Production Research
    Appears in Collections:[Development of Industrial Engineering and Management] 【工業工程與管理系所】期刊論文

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