建構直觀模糊品質機能展開模式於光學鏡頭產品開發設計

Establishment of Quality Function Deployment Model Based on an Intuitionistic Fuzzy Approach: Optical Lens Development and Design

10.6220/joq.2012.19(6).04

洪國禎(Kuo-Chen Hung)；王靖欣(Ching-Hsin Wang)；粘勝興(Sheng-Hsing Nien)；杜建平(Chien-Ping Tu)；王培寬(Pei-Kuan Wang)；陳蓓(Pei Chen)；張維芳(Wei-Fang Chang)

直觀模糊集 ； 品質機能展開 ； Kano方法 ； 顧客滿意度 ； OWA(Ordered Weighted Averaging)運算子 ； intuitionistic fuzzy sets ； quality function deployment (QFD) ； Kano model ； customer satisfaction ； ordered weighted averaging (OWA) operator

品質學報

19卷6期（2012 / 12 / 01）

581 - 601

繁體中文

面對全球化的競爭，顧客滿意是今日企業達成永續經營及獲利的一項重要議題，其中品質機能展開（Quality Function Deployment, QFD）可將顧客聲音納入產品技術研發與規格訂製需求之中，確保產品符合顧客的滿意度。但礙於QFD規劃過程中，存在許多不確定性與語意模糊的因素存在，囿於這些存在的不精確資訊並不適用傳統QFD方法處理。因此，本研究提出直觀模糊QFD與Kano模式用以適當的處理顧客需求於產品設計上。而在本研究方法中，首先應用直觀模糊於品質機能展開的產品設計開發過程，並以順序權重平均法（Ordered Weighted Averaging, OWA）計算綜合權重分數，另以Kano二維品質概念模型觀點處理顧客需求（Customer Requirements, CRs）與產品設計需求（Design Requirements, DRs）的關係矩陣，使產品設計能更專注於產品品質上。最後以光學鏡頭產品設計為例，驗證直觀模糊集結合品質機能展開應用的分析，用以提供相關產業於產品開發設計時的參考。

Customer satisfaction is a prominent issue for enterprises in being sustainable and making profit. In particular, quality function deployment (QFD) incorporates the voice of customers into product research and development and custom specifications requirements to fulfill customer satisfaction. However, during the QFD planning process, the uncertainty and ambiguities of customer requirements (CRs) have revealed that the conventional QFD method was not considered applicable for the existent imprecise information. Thus, this study used intuitionistic fuzzy QFD and Kano model to appropriately apply customer requirements to product design. For research methods, we applied intuitionistic fuzzy sets to the development process of product design of QFD. Ordered weighted averaging (OWA) was used in the calculation of weighted scores. Additionally, Kano's two-dimensional quality model was employed to process the relationship matrix between CRs and design requirements (DRs). Last, the study conducted a case study on optical lens design that verifies the analysis on the integration of intuitionistic fuzzy sets with QFD applications. The results could serve as a reference for related industries in future product development and design.

1. Atanassov, K. T.(1986).Intuitionistic fuzzy sets.Fuzzy Sets and Systems,20(1),87-96.
2. Ayağ, Z.(2005).A fuzzy AHP-based simulation approach to concept evaluation in a NPD environment.IIE Transactions,37(9),827-842.
3. Boran, F. E.,Genç, S.,Kurt, M.,Akay, D.(2009).A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method.Expert Systems with Applications,36(8),11363-11368.
4. Bottani, E.(2009).A fuzzy QFD approach to achieve agility.International Journal of Production Economics,119(2),380-391.
5. Bottani, E.,Rizzi, A.(2006).Strategic management of logistics service: a fuzzy QFD approach.International Journal of Production Economics,103(2),585-599.
6. Büyüközkan, G.,Feyzioğlu, O.(2004).A fuzzy-logic-based decision-making approach for new product development.International Journal of Production Economics,90(1),27-45.
7. Büyüközkan, G.,Feyzioğlu, O.,Ruan, D.(2007).Fuzzy group decision-making to multiple preference formats in quality function deployment.Computers in Industry,58(5),392-402.
8. Chan, L. K.,Kao, H. P.,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.
9. Chan, L. K.,Wu, M. L.(2005).A systematic approach to quality function deployment with a full illustrative example.Omega,33(2),119-139.
10. Chang, K. H.,Cheng, C. H.,Chang, Y. C.(2010).Reprioritization of failures in a silane supply system using an intuitionistic fuzzy set ranking technique.Soft Computing,14(3),285-298.
11. Chen, C. Y.,Chen, L. C.,Lin, L.(2004).Methods for processing and prioritizing customer demands in variant product design.IIE Transactions,36(3),203-219.
12. Chen, L. H.,Ko, W. C.(2009).Fuzzy approaches to quality function deployment for new product design.Fuzzy Sets and Systems,160(18),2620-2639.
13. Chen, L. H.,Weng, M. C.(2006).An evaluation approach to engineering design in QFD processes using fuzzy goal programming models.European Journal of Operational Research,172(1),230-248.
14. Chen, R. Y.(2009).A problem-solving approach to product design using decision tree induction based on intuitionistic fuzzy.European Journal of Operational Research,196(1),266-272.
15. Chen, Y.,Fung, R. Y. K.,Tang, J.(2006).Rating technical attributes in fuzzy QFD by integrating fuzzy weighted average method and fuzzy expected value operator.European Journal of Operational Research,174(3),1553-1566.
16. Chountas, P.,Rogova, E.,Atanassov, K.(2011).The notion of H-IFS: an approach for enhancing the OLAP capabilities in oracle10g.International Journal of Intelligent Systems,26(3),262-283.
17. Filev, D.,Yager, R. R.(1998).On the issue of obtaining OWA operator weights.Fuzzy Sets and Systems,94(2),157-169.
18. Fung, R. Y. K.,Chen, Y.,Tang, J.(2006).Estimating the functional relationships for quality function deployment under uncertainties.Fuzzy Sets and Systems,157(1),98-120.
19. Fung, R. Y. K.,Popplewell, K.,Xie, J.(1998).An intelligent hybrid system for customer requirements analysis and product attribute targets determination.International Journal of Production Research,36(1),13-34.
20. Gau, W. L.,Buehrer, D. J.(1993).Vague sets.IEEE Transactions on Systems, Man and Cybernetics,23(2),610-614.
21. Gong, Z. W.,Li, L. S.,Forrest, J.,Zhao, Y.(2011).The optimal priority models of the intuitionistic fuzzy preference relation and their application in selecting industries with higher meteorological sensitivity.Expert Systems with Applications,38(4),4394-4402.
22. Hung, K. C.(2011).Evaluating quality of service in the hotel industry: a novel intuitionistic fuzzy MCDM approach.Proceedings of 2011 International Conference on Asia Pacific Business Innovation & Technology Management
23. Hung, K. C.,Yang, G. K.,Chu, P.,Jin, W. T. H.(2008).An enhanced method and its application for fuzzy multi-criteria decision making based on vague sets.Computer-Aided Design,40(4),447-464.
24. Jia, G. Z.,Bai, M.(2011).An approach for manufacturing strategy development based on fuzzy-QFD.Computer & Industrial Engineering,60(3),445-454.
25. Kahraman, C.,Ertay, T.,Büyüközkan, G.(2006).A fuzzy optimization model for QFD planning process using analytic network approach.European Journal of Operational Research,171(2),390-411.
26. Kano, N.,Seraku, F.,Takahashi, F.,Tsuji, S.(1984).Attractive quality and must-be quality.Journal of the Japanese Society for Quality Control,14(2),39-48.
27. Khademi-Zare, H.,Zarei, M.,Sadeghieh, A.,Owlia, M. S.(2010).Ranking the strategic actions of Iran mobile cellular telecommunication using two models of fuzzy QFD.Telecommunications Policy,34(11),747-759.
28. Kwong, C. K.,Bai, H.(2003).Determining the importance weights for the customer requirements in QFD using a fuzzy AHP with an extent analysis approach.IIE Transactions,35(7),619-626.
29. Lai, X.,Xie, M.,Tan, K. C.,Yang, B.(2008).Ranking of customer requirements in a competitive environment.Computer & Industrial Engineering,54(2),202-214.
30. Lee, W.(2009).An enhanced multicriteria decision-making method of machine design schemes under interval-valued intuitionistic fuzzy environment.Proceedings of the 10th IEEE International Conference on Computer-Aided Industrial Design & Conceptual Design (CAID & CD 2009)
31. Li, D. F.(2005).Multiattribute decision making models and methods using intuitionistic fuzzy sets.Journal of Computer and System Sciences,70(1),73-85.
32. Li, D. F.(2010).Multiattribute decision making method based on generalized OWA operators with intuitionistic fuzzy sets.Expert Systems with Applications,37(12),8673-8678.
33. Li, J.,Zhang, H. C.,Lin, Z.(2009).Asymmetric negotiation based collaborative product design for component reuse in disparate products.Computers & Industrial Engineering,57(1),80-90.
34. Liu, H. W.,Wang, G. J.(2007).Multi-criteria decision-making methods based on intuitionistic fuzzy sets.European Journal of Operational Research,179(1),220-233.
35. Liu, S. T.(2005).Rating design requirements in fuzzy quality function deployment via a mathematical programming approach.International Journal of Production Research,43(3),497-513.
36. Lu, S.(2011).Research on the methods of suppliers selection in the context of e-commerce.Advanced Materials Research,143-144,509-514.
37. Lyman, D.(1990).Deployment normalization.Proceedings of the 2nd Symposium on QFD, ASQC/ASI
38. Nepal, B.,Monplaisir, L.,Singh, N.(2005).Integrated fuzzy logic-based model for product modularization during concept development phase.International Journal of Production Economics,96(2),157-174.
39. Rouyendegh, B. D.(2011).The DEA and intuitionistic fuzzy TOPSIS approach to departments' performances: a pilot study.Journal of Applied Mathematics,2011,1-16.
40. Vanegas, L. V.,Labib, A. W.(2001).A fuzzy quality function deployment (FQFD) model for deriving optimum targets.International Journal of Production Research,39(1),99-120.
41. Wang, J.,Sun, Y.,Kang, J.,Liu, D.(2010).The intuitionistie fuzzy sets on evaluation of risks in projects of enterprise's, informationization.Proceedings of the 2nd Pacific-Asia Conference on Circuits, Communications and System (PACCS)
42. Wasserman, G. S.(1993).On how to prioritize design requirements during the QFD planning process.IIE Transactions,25(3),59-65.
43. Wei, G. W.(2008).Maximizing deviation method for multiple attribute decision making in intuitionistic fuzzy setting.Knowledge-Based Systems,21(8),833-836.
44. Wong, B. K.,Lai, V. S.(2011).A survey of the application of fuzzy set theory in production and operations management: 1998-2009.International Journal of Production Economics,129(1),157-168.
45. Zadeh, L. A.(1965).Fuzzy sets.Information and Control,8(3),338-353.
46. Zhang, Z.,Chu, X.(2009).Fuzzy group decision-making for multi-format and multi-granularity linguistic judgments in quality function deployment.Expert Systems with Applications,36(5),9150-9158.
47. 徐村和、朱國明、詹惠君(2001)。模糊語意尺度之研究。企業管理學報，51，27-51。