現今市場競爭激烈，顧客對產品需求亦多變，因此對於一個企業而言，如何在快速變化的競爭市場生存，做出適當決策以生產滿足顧客需求之產品，是一相當重要的議題。供應商為了增加其本身收益，可以考慮與其外包商彼此合作的可能性來提升效率，使成本更為降低。然而，顧客所要求之需求品質通常具語意上的模糊，需設法將其抽象之品質需求概念轉換為技術上或工程上可完成的品質要素，且各品質要素間之相關性程度與品質要素和顧客需求間之關係矩陣亦通常以強、中、弱記號來表示，因此，若能有一有效模式將具模糊性之資料轉換為較明確之參考資料，同時於品質機能展開第二階段將與其外包商合作納入考量，使其結果更符合現實狀況，對於供應商而言應當有相當的助益。
由於品質機能展開是一種為達顧客需求，滿足顧客期望之工具，其提供了一套良好的系統方法，可幫助決策者完成產品設計、生產並提供較深度之評估，對生產力、產品品質及成本都有顯著效益。因此本研究主要將以品質機能展開（Quality Function Deployment,QFD）方法，以過去文獻研究為基礎做為顧客品質需求與工程設計需求準則。此外，為提升供應商本身之效益與競爭力，亦於品質機能展開第二階段考慮與一外包商合作與不合作關係，將其合作關係設為部分合作，亦即允許其部分零件特性為合作關係，其餘為不合作，探討分析不同合作關係對公司的影響，求得在顧客滿意最佳且符合限制下之組合，提供更多資訊予供應商作決策之參考。

In order to meet the challenges of a highly competitive market and changing customer demands, suppliers may consider cooperating with an outsourced supplier to lift efficiency and reduce costs. However, the linguistic quality requirements that customers describe are usually fuzzy, and must be transformed from abstract concepts into practical goals. The relation degree of each quality factor and the relation matrix of these factors and customer requirements (CRs) are usually expressed by strong, medium, and weak symbols.
Therefore, an effective model is required that can transform fuzzy data into clear data and thus enable cooperation with the outsourced supplier in the Quality Function Deployment (QFD) second stage. QFD is a tool that can meet customer requirements by providing a set of system approaches that may help the decision maker to complete the product design, production and evaluation, improving production ability, quality and cost. Therefore this research mainly uses the QFD method, and uses the literature as a foundation for developing the customer quality and the engineering design requirements criterion.
In addition, to promote the competitive power of the supplier, this research also considers cooperative and not cooperative relations between the supplier and its outsourcing partner. Exploring and analyzing the influences of different forms of cooperation on the company, and obtaining the best combination with regard to customer satisfaction and production limits, provides the supplier with more information to make decisions.

水野滋、赤尾洋二，品質機能展開法：如何有效掌握顧客需求，中壢，和昌，1987。
赤尾洋二，新產品開發品質機能展開之實際應用，台北，中國生產力中心。
徐世輝，全面品質管理，台北，華泰文化事業股份有限公司，1999。
徐載華譯，局論，台北，桂冠圖書出版，1990。
楊家彥、張建一、吳麗真合譯，賽局理論與訊息經濟，台北，五南圖書出版股份有限公司，2004。
孫宗瀛、楊英魁，Fuzzy控制：理論、實作與應用，台北，全華科技圖書股份有限公司，1994。
井上洋、天笠美知夫、陳耀茂，模糊理論=Fuzzy theory，台北，五南圖書出版股份有限公司，1999。
李允中、王小璠、蘇木春，模糊理論及其應用，台北，全華科技圖書股份有限公司，2003。
鄭美芳，供應鏈聯盟的合作與衝突-以赴大陸聯盟設廠的台灣汽機車和零配件為例，南華大學亞洲太平洋碩士論文，2001。
杜瑞裕，考慮模糊非線性之品質機能展開整合模式，成功大學工業與資訊管理學系碩士論文，2005。
蕭瑞民，兩階段供應鏈之競爭合作模型—賽局理論之應用，國立成功大學工業與資訊管理學系博士論文，2005。
柯文長，品質機能展開應用於新產品開發之模糊數學規劃模式，國立成功大學工業與資訊管理學系博士論文，2008。
Aly, N. A., Maytubby, V. J. and Elshennawy, A. K.(1990), “Total quality management: An approach and a case study,” Computers and Industrial Engineering, 19(1),
111-116.
Branzei, R., Dimitrov, D. and Tijs, S.(2003), “Convex fuzzy games and participation monotonic allocation schemes,” Fuzzy Sets and Systems, 15(24), 267-281.
Cachon, G. and Netessine,S.(2004), “Game theory in supply chain analysis. In: D. Simchi-Levi, S.D. Wu and M. Shen, Editors,” Supply Chain Analysis in the eBusiness Era, Kluwer.
Chan, L. K. and Wu, M. L.(2002), “Quality function deployment: A literature review,”European Journal of Operational Research, 143, 463-497.
Chen, L. H. and Weng, M. C.(2003), “A fuzzy model for exploitting quality function deployment,” Mathematical and Computer Modeling, 38, 559-570.
Collins, D. W. and Hu, C.(2005), “Fuzzily determined interval matrix games,”http://www-bisc.cs.berkeley.edu/BISCSE2005/Abstracts_Proceeding/Friday/FM3/Chenyi Hu.pdf.
Collins, D. W. and Hu, C.(2008), “Studying interval valued matrix games with fuzzy logic,” Soft Comput, 12, 147-155.
Dengfeng, L. and Chuntian, C.(2002), “Fuzzy multiobjective programming methods for fuzzy constrained matrix games with fuzzy numbers,” International Journal
of Uncertainty,Fuzziness and Knowledge-Based Systems, 10(4), 385-400.
Dollinger, M. J., Golden, P. A. and Saxton, T.(1997), “The effect of reputation on the decision to joint venture,” Strategic Management Journal, 18(2), 127-140.
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,” INT. J. PROD. RES., 40(3), 585-599.
Gunasekaran, N., Rathesh, S., Arunachalam, S.(2006), “Optimizing supply chain management using fuzzy approach,” Journal of Manufacturing Technology Management, 17(6), 737-749.
Herbert, M. and Kwang, J. K.(1997), “QFD Optimizer: A novice friendly quality function deployment decision support system for optimizing product designs,”Computers and Industrial Engineering, 32(3), 641-655.
Kanter, R. A.(1994), “Collaborative advantage: The art of alliances,” Harvard Business Review, 72(4), 96-108.
Kumar, G. P., “Translate customer needs into actions and design to build and deliver a quality product. Explanation of function deployment of Akao and Mizuno,”12manage.
Lee, K. L. and Lin, S. C.(2006), “Applying fuzzy quality function deployment to relational analysis between the competitive indices for the international logistics
system developed by airports and national resource factors,” Information and Management Sciences, 17(3), 65-93.
Leng, M. and Parlar, M.(2005), “Game theoretic aplications in Supply Chain Management: A Review,” INFOR-OTTAWA Parkhe, A.(1993), “Partner nationality and the structure-performance relationship in strategic alliances,” Organization Science, 4(2), 301-324.
Sivaloganathan, S., Evbuomwan, N. F. O., Jebb, A. and Wynn, H. P.(1995), “Design function deployment—a design system for the future,” Design Studies, 16(4), 447-470.
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, 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.
Vanegas, L. V. and Labib, A. W.(2001), “A fuzzy quality function deployment (FQFD) model for deriveing optimum targets,” International Journal of Production Research, 39(1), 99-120.
Von Neumann, J. and Morgenstern, O.(1944), “Theory of games and economics behavior,” Princeton, Princeton University Press.
Wang, H., Guo, M. and Efstathiou, J.(2004), “A game-theoretical cooperative mechanism design for a two-echelon decentralized supply chain,” European Journal of operational Research, 157, 372-388.
Wu, S. H. and Soo, V. W.(1999), “A fuzzy game theoretic approach to multi-agent coordination,” Lecture Notes in Computer Science, 1599, 76-87.
Zadeh, L. A.(1965), “Fuzzy sets,” Information and Control, 8, 338-353.
Zadeh, L. A.(1975), “Fuzzy logic and approximate reasoning,” Synthese, 30(3-4),
407-428.