| 研究生: |
陳文婷 Chen, Wen-Ting |
|---|---|
| 論文名稱: |
品質機能展開之整合模式 |
| 指導教授: |
陳梁軒
none |
| 學位類別: |
碩士 Master |
| 系所名稱: |
管理學院 - 工業與資訊管理學系 Department of Industrial and Information Management |
| 論文出版年: | 2005 |
| 畢業學年度: | 93 |
| 語文別: | 中文 |
| 論文頁數: | 56 |
| 中文關鍵詞: | 多目標規劃法 、品質機能展開 |
| 外文關鍵詞: | QFD, Quality Function Deployment |
| 相關次數: | 點閱:61 下載:5 |
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企業在競爭激烈的市場中,唯有以「顧客至上」的理念經營,才得以永續經營。因為,只有符合顧客所需的,才有品質可言。但是企業想要在資源有限的情況下,要提高企業的競爭力,以提昇品質來達成顧客的需求,也就是能提升顧客的滿意度,是一門值得深入探討的課題。
品質機能展開(QFD)是現代企業在品質規劃與設計上非常有效的產品開發工具。因此,本研究引用Wasserman學者(1993)的正規化方法,考量品質機能展開過程之各階段中的相關矩陣與關係矩陣,來得到正規化後之關係矩陣。另外,由於品質機能展開的過程中,需要考量到的因素,如成本、技術困難度、顧客滿意度等,為一個多個目標衝突與矛盾的問題,因此要在有限的資源與目標衝突的限制之下,協助決策者尋求最佳的解決方案,本研究以多目標規劃中的權重法,著重在整合品質機能展開之四個階段,來求算出各個階段之項目達成度,以協助產業決定各階段中,各個項目的最適執行程度,以求能夠更快速、更精確地達到新產品的開發與產品品質改良之目的。另外,本研究是有別於過去文獻只著重品質機能展開中第一階段的考量問題,以避免在設計規劃、製程,到產品上市的過程中,實行時出現瓶頸,而必需再重新考量上一個階段之情況,來降低其中所產生的損失。
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赤尾洋二編著,中國生產力中心QFD研發小組編譯,台北,中國生產力中心,新產品開發─品質機能展開之實際應用,台北,民國八十年(1991)。
水野滋、赤尾洋二編著,品質機能展開研究小組譯,中壢,先鋒企業管理發展中心,品質機能展開法─如何有效掌握顧客需求 (第二版),民國七十七年四月(1988)。
徐世輝,全面品質管理,台北,華泰文化事業股份有限公司,民國八十八年(1999)。
Bossert, J. L. (1991), Quality function deployment─a practitioner approach, ASQC Quality Press Inc., New York.
Chan, L. K. and Wu, M. L. (1998), Prioritizing the technical measures in quality function deployment, Quality Engineering, 10(3), 467-479.
Chan, L. K., Kao, H. P., Ng, A. and Wu, M. L. (1999), Rating the importance of customer needs in quality function deployment by fuzzy and entropy methods, International Journal of Production Research, 37(11), 2499-2518.
Chen, L. H. and Weng, M. C. (2003), A fuzzy model for exploiting quality function deployment, Mathematical and Computer Modelling, 38, 559-570.
Chu, Y. F. (1998), Framework of a Fuzzy house of quality quantifying in the QFD, Journal of Quality, 5, 107-134.
Elsayed, A. E. and Elwany, M. H. (1996), (PPP): A hybrid system for integrating process and production planning in batch part manufacturing, Journal of Materials Processing Technology, 61, 113-119.
Eversheim, W., Bochtler, W., Gräßler, R. and Kölscheid, W. (1997), Simultaneous engineering approach to an integrated design and process planning, European Journal of Operational Research, 100, 327-337.
Fung, R. Y. K., Tang, J., Tu, Y. and Wang,D. (2002), Product design resources optimization using a non-linear fuzzy quality function deployment model, International Journal of Production Research, 40(3), 585-599.
Goel, H. D., Grievink, J. and Weijnen, M. P. C. (2003), Integrated optimal reliable design, production, and maintenance planning for multipurpose process plants, Computers and Chemical Engineering, 27, 1543-1555.
Han, S. B., Chen, S. K., Ebrahimpour, M. and Sodhi, M. S. (2001), A conceptual QFD planning model, International Journal of Quality & Reliability Management, 18(8), 796-812.
Hauser J. R. and Clausing D. (1988), The house of quality, Harvard Business Review, May-June, 63-73.
Karsak, E. E., Sozer, S. and Alptekin, S. E. (2002), Product planning in quality function deployment using a combined analytic network process and goal programming approach, Computer and Industrial Engineering, 44,171-190.
Kim, K.-J., Moskowitz, H., Dhingra, A. and Evans, G. (2000), Fuzzy multicriteria model for quality function deployment, European Journal of Operational Research, 121, 504 –518.
Kong, C. K. and Bai, H. (2003), Determining the importance weights for the customer requirements in QFD using a fuzzy AHP with an extent analysis approach, IIE Transaction, 35, 619-626.
Li, C.C. and Sheu, T. S. (1996), Discussion on quantifying the house of quality in QFD, Journal of Quality, 3(1), 65-80.
Lin, C.T. (2003), A fuzzy logic-based approach for implementing quality function deployment, International Journal of Smart Engineering System Design,5(1), 55-65.
Liu, M. L. and Sahinidis, N. V. (1997), Process planning in a fuzzy environment, European Journal of Operational Research, 100(1), 142-169.
Lyman, D.(1990), Deployment normalization, 2nd symposium on QFD, ASQC/ASI, 307-315.
Locascio,A. and Thurston, D.L.(1994),Quantifying the house of quality for optimal product design, ASME design theory and methodology conference, 68,43-54.
Moskowitz, H. and Kim K.J.(1997), QFD OPTIMIZER:A novice friendly quality function deployment decision support system for optimizing product designs, Computers and Industrial Engineering, 32(3), 641-655.
Myint, S. (2003), A framework of an intelligent quality function deployment (IQFD) for discrete assembly environment,Computers & Industrial Engineering, 45, 269-283.
Park, T. and Kim, K.-J. (1998), Determination of an optimal set design requirements using house of quality, Journal of Operations Management, 16, 569-581.
Sohn, S. Y. and Choi, I. S. (2001), Fuzzy QFD for supply chain management with reliability consideration, Reliability Engineering and System Safety, 72, 327-334.
Sullivan, L.P. (1986), Quality function deployment, Quality Progress, 19, June, 39-50.
Temponi, C., Yen, J. and Tiao, W.A. (1999), House of quality: A fuzzy logic-based requirements analysis, European Journal of Operational Research, 117, 340-354.
Ulrich, K. T. and Eppinger, S. D. (2000), Product design and development, 2nd ed., The McGraw-Hill Companies.
Vairaktarakis, G. L.(1999), Optimization tools for design and marketing of new/improved products using the house of quality, Journal of Operations Management, 17, 645-663.
Vanegas, L. V. and Labib, A. W. (2001), A fuzzy Quality Function Deployment(FQFD)model for deriving optimum targets, International Journal of Production Research, 39(1), 99-120.
Wasserman, G. S. (1993), On how to prioritize design requirements during the QFD planning process, IIE Transactions, 25(3), 59-65.
Yang, Y. Q., Wang, S. Q., Dulaimi, M., and Low, S.P. (2003), A fuzzy quality function deployment system for buildable design decision-makings, Automation in Construction, 12, 381-393.
Zhengxu, Z. (1995), Process planning with multi-level fuzzy decision-making, Computer Integrated Manufacturing Systems, 8(4), 245-254.
Zhou, M.(1998), Fuzzy logic and optimization models for implementing QFD, Computers and Industrial Engineering, 35(1-2), 237-240.