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研究生:洪飛恭
研究生(外文):Fei-kung Hung
論文名稱:客製化模組產品推薦服務系統建立之研究
論文名稱(外文):The Study of Building Recommendation Service Systems For Customization Modular Products
指導教授:陳淼勝陳淼勝引用關係
指導教授(外文):Miao-sheng Chen
學位類別:博士
校院名稱:南華大學
系所名稱:企業管理系管理科學碩博士班
學門:商業及管理學門
學類:企業管理學類
論文種類:學術論文
論文出版年:2011
畢業學年度:99
語文別:中文
論文頁數:91
中文關鍵詞:推薦服務模組產品客製化模糊資訊公理層級分析法
外文關鍵詞:CustomizationModular ProductRecommendation ServiceFuzzy Information AxiomAnalytical Hierarchy Process
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  • 被引用被引用:5
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  在顧客導向時代商品市場上,消費者可以視其不同需求狀況,購買不同型別或功能等級的產品,而製造商將各功能組件模組化後,即可以同一產品主體,延伸變化出不同類別等級的商品,增強產品的競爭力。
 
  本文針對客製化模組產品設計,提供兩種不同理論模式,建立消費者需求、產品功能特徵及其兩者的關聯性評價,並運用不同理論,在經由專家意見建立模組產品資料庫中,評價出最合適的模組產品或功能元件;其後透過兩個不同的個案企業模組產品來建立消費者推薦服務系統,使企業可根據不同顧客需求,透過系統推薦顧客不同的模組產品,或是由顧客在系統上自行輸入基本需求,隨時可搜尋最合適顧客需求的商品。
 
  本文客製化模組產品設計所建立的模式,產品設計模式一:以模糊資訊公理作為評價及決策法則;產品設計模式二:以層級分析法、模糊理論、倒傳遞類神經網路及灰關聯分析作為評價及決策法則;在今日網路與電子商務的技術已日趨成熟下,相信有許多的廠商,迫切需要一個能妥善引導顧客需求的推薦服務系統,廠商可從服務系統中、業務人員及廠商網站中取得顧客需求與選擇產品的相對資訊,這些資訊取得對企業產品的銷售及研發將有很大助益。
  In the era of customer-oriented merchandising marketing, consumers can depend on the status of their needs to purchase the products at different levels of model or function. Therefore, the manufacturers modulate their products by the level of functions and components. Hence, with the same major component of the product can be tuned to various categories and grades to enhance the competitiveness of their products.
 
  In this research, we use two different theoretical models for customized modular product design to establish the relationship of product evaluation between the status of consumer demands and the features of the product. Furthermore, by using different theories and the database of the product modules, that built through the inputs of the experts, we build the criteria for recommending the most suitable product by its modulated functions or components. Then, such mechanism is used to provide customer recommendation system for two different companies with their modulated products. The company can use the system to recommend suitable modulated product according to the needs of different customers. The customer can also use the system to search the desired products by inputting the requirement information.
 
  The model build by the customized modular product design in this research, product design model I: we use fuzzy information axiom as the evaluation and decision principle of the product design model. Product design model II: the Analytical Hierarchy Process, Fuzzy Set Theory, Back-Propagation neural network, and Gray Relational Analysis are also used for the evaluation and decision principle of the product design model.With the maturity of current network technologies and e-commerce practices, a suitable recommendation service system to guide customer’s needs is needed for marketing. The manufacturers can use this system to extract the information of the needs for their customers as well as the choices of the products the made. Such information should provide valuable inputs for the sales and future improvement of the product to the company.
中文摘要 i
英文摘要 ii
目錄 iv
表目錄 vi
圖目錄 vii
符號說明 viii
 
第一章 緒論 1
1.1 研究背景 1
1.2 研究問題與目的 4
1.3 研究流程 5
1.4 論文章節 7
1.5 研究範圍 7
 
第二章 文獻探討 8
2.1 消費者行為 8
2.2 產品設計概念 9
2.3 客製化模組產品設計 15
2.4 產品設計理論應用研究 19
 
第三章 研究方法與設計 25
3.1 模組產品設計架構 25
3.2 模組產品設計流程 26
3.3 產品設計模式一 26
3.4 產品設計模式二 31
 
第四章 客製化模組產品模式建構 45
4.1 運用模糊資訊公理建構之模式 45
4.2 運用模糊層級分析法、類神經網路及灰色理論建構之模式 51
 
第五章 企業模組產品推薦服務系統 57
5.1 個案公司筆記型電腦模組產品 57
5.2 個案公司嬰兒推車模組產品 68
 
第六章 結論與建議 77
6.1 結論 77
6.2 建議 79
6.3 研究限制 79
 
參考文獻 81
一、中文部分 81
二、英文部分 82
 
個人簡歷 90
 
表目錄
表2.1產品設計相關學者研究 22
表3.1產品設計模式一:研究方法及採用原因 27
表3.2產品設計模式二:研究方法及採用原因 32
表3.3顧客基本需求比較等級 36
表4.1七階需求等級三角模糊函數 46
表4.2顧客需求重要程度與需求與功能特徵關係程度評判結果表 48
表4.3需求重要程度/功能需求等級 與模糊函數對應關係表 51
表4.4「顧客需求」與「功能模組」之關聯程度語彙表 53
表4.5顧客需求重要程度與顧客需求/功能模組相關程度評判結果表 54
表5.1資深銷售業務人員選定顧客基本需求 58
表5.2筆電專家選定產品功能特徵 58
表5.3顧客需求與產品功能特徵之關聯表 59
表5.4專家評比模糊化產品資料庫 60
表5.5筆記型電腦價格與三角模糊等級關係 61
表5.6 Feigo的電腦需求及需求語彙等級 61
表5.7各產品功能特徵資訊量總和 62
表5.8 Feigo需求與產品功能特徵的模糊推理結果 63
表5.9 Feigo需求筆記型電腦產品功能特徵評價總和 63
表5.10適合Feigo筆記型電腦產品功能特徵排序表 64
表5.11 Tom的電腦需求及語彙等級 64
表5.12 Tom需求筆記型電腦產品功能特徵評價總和 65
表5.13 Tom需求筆記型電腦產品功能特徵評價總和 65
表5.14適合Tom筆記型電腦產品功能特徵排序表 66
表5.15嬰兒推車模組化功能型別分類 70
表5.16嬰兒推車 顧客需求擬定 71
表5.17顧客基本需求項目與模組化功能型別分類關聯程度表 72
表5.18可配對之模組樣式 73
表5.19顧客甲需求成對比較值 73
表5.20功能模組需求評價表 74
表5.21目標需求序列與20組可選配序列之灰關聯度值 75
 
圖目錄
圖1.1研究流程圖 6
圖2.1 suh (2001) 公理設計四大領域 12
圖2.2資訊性公理設計各區域的三角模糊函數示意圖 14
圖3.1本研究架構圖 25
圖3.2三角模糊函數之隸屬函數 29
圖3.3倒傳遞類神經網路架構 39
圖4.1七階需求等級三角模糊函數之隸屬函數圖 47
圖4.2需求重要程度/功能需求等級 之三角模糊函數圖形 52
圖5.1產品功能特徵的品質特性模糊化圖形 60
圖5.2筆記型電腦產品推薦服務系統介面 68
圖5.3嬰兒推車功能圖示 69
圖5.4嬰兒推車產品推薦服務系統介面 76
邱志建、陳仕豪、林坤建 (1999),灰關聯分析於大哥大手機台灣市場競爭力之應用,第四屆灰色系統理論與應用研討會,台灣, 404~409頁。
  
吳淑鶯(2001) ,產品設計方法實證研究--以行動電話為例, 商管科技季刊,第二卷、第二期, 139~156頁。
 
張斐章、張麗秋(2005),類神經網路,東華書局。
 
鄧聚龍(1989),灰色系統理論教程, 華中理工大學出版社。
 
鄧聚龍、郭洪(1996),灰預測原理與應用,台北,全華書局。
 
鄧聚龍(2003),系統理論與應用,高立圖書有限公司
 
陳文華(1999),應用資料倉儲系統建立 CRM,資訊與電腦, 122-127頁。
 
葉怡成編(2004),類神經網路模式應用與實作 ,台北市:儒林出版社,(八版三刷)。
 
裴文、李繼法 (2004),以分析層級程序法探討軍事採購作業制度-以某軍工廠為例,遠東學報,第二十一期, 607-618頁。
 
劉毓民(2000),善用網路資訊科技提供消費者一對一的客製化服務,電子化企業經理人報告,ARC遠擎管理顧問公司企業智慧部,第十一期, 4-5頁。
 
劉鎮源、唐麗英(2009)整合灰關聯分析與感性工學於產品設計開發,品質學報 第16卷,第三期, 165-177頁。
 
二、英文部分
 
Allen, C. (1999), Personalization Vs. Customization, Wiley and Sons, New York.
 
Allen,J.K., Carone, M.J., Williams, C.B.& Mistree, F.(2003), An Application of Constructal Theory in the Multi-Objective Design of Product  
Platforms, ASME 2003 Design Engineering Technical Conferences and Computer and Information in Engineering Conference, pp. 1-12.
 
Ayag,Z.(2005), A fuzzy AHP-based simulation approach to concept evaluation in a NPD environment, IIE Transactions vol.37, pp. 827-842.
 
Baxter, M. (1995), Product Design, Chapman & Hill, London, UK.
 
Bellman,R.E. & Zadeh,L.A.(1970), Decision-Making in a Fuzzy Environment, Management Science, Vol.17, No.4 , pp.141-164.
 
Blackwell, R. D., Miniard, P. W. & Engel, J. F. (2001). Consumer Behavior (9th ed.). NY: Harcourt.
 
Chang, W. C., Wen, K. L. & Raiffa, H. (2000),The grey relation grade and its application, Gulai Publisher.
 
Chen, S.H. (1985a), Ranking fuzzy numbers with maximizing set, Fuzzy Sets and Systems, Vol.17, pp.113-129.
 
Chen, S.H.(1985b), Operations on fuzzy numbers with function principle Tamkang, Journal of Management Sciences; Vol.6,No.1, pp.13-25.
 
Chen, S.H. & Hsieh, C.H.(1999), A model and algorithm of fuzzy product positioning, Information Sciences ,Vol.121, pp. 61-82.
 
Coates, J.F. & Wolff M.F., (1995), Customization promises sharp competitive edge, Research Technology Management, Vol.38, No.6, pp.6-7.
 
Coner, A(2003), Personalization and customization in financial portals, Journal of American Academy of Business, Vol. 2, No.2, pp. 498-505,
 
Cooper, Robert G.; Kleinschmidt & Elko J. (1987), New Products: What Separates Winners from Losers ?, Journal of Product Innovation Management, Vo.l4, September, pp.169-184.
 
Davis, S. M. (1989), From Future Perfect: Mass Customizing, Planning Review , Vol.7, No. 5, pp.16-21.
 
Diyar, A. & Kulak, O.(2007) , Evaluation of Product Design Concepts Using Grey-Fuzzy Information Axiom , The Journal of Grey Systems, Vol.3,pp 221-234.
 
Dubois,D. & Prade,H. (1980), Fuzzy Sets and Systems: Theory and Application , Academic Press Inc.
 
Durmusoglu, M.B. & Kulak, O. (2008), A Methodology for Office cell designs Using AD principles , OMEGA, Vol.36, No.4,pp.633-652.
 
Engel,J.F., Blackwell,R.D. & Miniard,PW.(1993), Consumer Behavior ,7th ed.). Fort Worth: Dryden Press.53.
 
Freeman, J.A. & Skapura, D.M.(1991), Neural networks algorithm, application, and programming techniques, Addison-Wesley, New York.
 
Garvin & David, A. (1987), Competing on the Eight Dimensions of Quality, Harvard Business Review, November-December, 101.
 
Gilmore, J. H. & Pine II, B. J.(1997), The Four Faces of Mass Customization, Harvard Business Review, Vol.75, No.1, pp.91-101.
 
Green, P. E. & Srinivasan, V. (1978), Conjoint analysis in consumer research: issues and outlook , Journal of Consumer Research, Vol.5, pp.103-123.
 
Hauser, John R. & Clausing Don (1988), The House of Quality, Harvard Business Review, May-June, pp.63-73.
 
Helander, M.G. & Jiao, J. ( 2002), Research on E-product Development (ePD) forMass Customization , Technovation, Vol.22, pp.717-724.
 
Helander M. G. & Lin L. (2002), Axiomatic design in ergonomics and an extension of the information axiom, Journal of Engineering Design ,Vol.13, pp. 321-339.
 
Hertz, J., Krough, A. & Palmer ,G. (1991), Introduction to the Theory of Neural Computation, Addison-Wesley, California.
 
Hsiao, S.W.(1994), Fuzzy set theory on car-color design , COLOR research and application, Vol.19, No.3, pp.202-213.
 
Hsiao, S.W. & Liu M.C.(2002), A morphing method for shape generation and image prediction in product design, Design Studies,Vol.23,No.5, pp.533-556.
 
Hsiao, S.W. & Huang H.C.(2002) , A neural network based approach for product form design, Design Studies ,Vol.23, No.1, pp.67-84.
 
Hsiao ,S.W. & Tsai,H.C. (2005), Applying a hybrid approach based on fuzzy neural network and genetic algorithm to product form design,International Journal of Industrial Ergonomics, Vol.35, No .5,pp.411-428.
 
Huang, C.C. (2000), Overview of Modular Product Development, Proceedings of the National Science Council, Republic of China, Part A: Physical Science and Engineering, Vol. 24, pp. 149-165.
 
Jiang, P. (2002), Exploring Consumers’ Willingness to Pay for Online Customization and Its Marketing Outcomes, Journal of Targeting, Measurement and Analysis for Marketing, Vol.11, No.2, pp.168-174.
 
Jones, J. C. (1992), Design Methods, Van Nostrand Reinhonld, New York.
 
Karwowski W.(2005), Ergonomics and human factors: the paradigms for science, engineering, design, technology and management of human-compatible systems, Ergonomics ,Vol.48 pp. 436-463.
 
Kotler , P. (2000), Marketing Management, 10thed, Prentice-Hall, New Jersey.
 
Kotler, P. ( 1989), From Mass Marketing to Mass Customization, Planning Review,Vol. 7, No.5, pp. 10-13.
 
Kwong, C. K. & Bai, H. (2002) ,A fuzzy AHP approach to the determination of importance weights of customer requirements in quality function deployment, Journal of Intelligent Manufacturing, Vol. 13, No. 5,pp.367-377.
 
Kulak ,O. (2005), A decision support system for fuzzy multi attribute selection of material handling equipments, Expert Systems with Applications VOL.29, pp.310-319.
 
Kulak ,O., Durmusoglu M.B. & Tufekci S. (2005) ,A complete cellular manufacturing systems design methodology based on axiomatic design principles, Computers and Industrial Engineering ,Vol.48 ,pp.765-787.
 
Kulak ,O. & Kahraman ,C. (2005a), Fuzzy multi-attribute transportation company selection among the alternatives using axiomatic design and analytic hierarchy process, Information Science ,Vol.170 , Iss.(2–4) , pp.191-210.
 
Kulak ,O. & Kahraman ,C. (2005b) ,Multi-attribute comparison of advanced manufacturing systems using fuzzy vs. crisp axiomatic design approach, International Journal of Production Economics ,Vol.95,No.3 , pp.415-424.
 
Laarhoven, P. J. M. & Pedrycz, W. (1983), A Fuzzy Extension of Satty''s Priority Theory, Fuzzy Sets System, Vol.11, No.3, pp.229-241.
 
Lampel, J., Mintzberg H. (1996), Customizing Customization , Sloan Management Reviews, Vol. 38,No.1, pp. 21-30.
 
Lehmann, Donald R. (1971), Evaluating Marketing Strategy in a Multiple Brand Market, Journal of Business Administration, Vol.3, Fall, pp.15-26.
 
Liu, C. Y. & Hsiao, S. W. (2000), Form and texture effects on product image, International Ergonomics Association XIVth Triennial Congress and Human Factors and Ergonomics Society, IEA2000/HFES,POS-C, 100-112, San Diego, US.
 
Ma, W.Y., Zhong, Y.M., Yso, S.K. & Zhou, T.X. (2004), A Hierarchically Structured and Constraint-based Data Model for Intuitive and Precise Solid Modeling in a Virtual Reality Environment ,Computer-Aided Design, Vol. 36, pp. 903-928.
 
Narver, J. & Slater, S. F. (1998) , The Effect of a Market Orientation on Business,Profitability, Journal of Marketing, Oct90, Vol. 54 ,Issue 4,pp.20-36.
 
Nunes, P. F. & Kambil, A.(2001), Personalization? No Thanks, Harvard Business Review, Vol.79, No.4, pp.32-33.
 
Pine II, B.J. (1993), Mass Customization: The New Frontier in Business Competition, Harvard Business School Press, Boston.
 
Peng, Z. & Kirk, T. B. ( 1999) ,Wear Particle Classification in a Fuzzy Grey System, Wear, Vol. 225-229, pp. 1238-1247.
 
Pugh S. (1991) ,Total Design: Integrated Methods for Successful Product Engineering, Addison-Wesley, New York.
 
Rosko, M. D., Devita,M., McKenna, W. F. & Walker L. R. (1985), Strategic Marketing Applications of Conjoint Analysis: An HMO Perspective, Journal of Health Care Marketing, Vol.5,No.4, Fall, pp.27-38.
 
Saaty T.L. (1980), The analytic hierarchy process, McGraw-Hill, New York.
 
Sanchez, R. (1999), Modular Architecture in the Marketing Process, Journal of Marketing, Vol. 63, pp. 92-111.
 
Stone, R. B., Wood, K. L. & Crawford, R. H. ( 2000), Using Quantitative Functional Models to Develop Product Architecture, Design Study, Vol.21: pp.239-260.
 
Suh, N. P. (1990), The Principles of Design, Oxford University Press, New York .
 
Suh, N. P. (1995), Design and operation of large systems, Annals of CIRP Vol.14,No.3 ,pp 203–213.
 
Suh, N. P. (1997), Design of systems, Annals of CIRP ,Vol.46 ,No.(1), pp.75–80.
 
Suh, N. P., Cochran ,D. S., Paulo, C. L. (1998), Manufacturing system design, Annals of the CIRP , Vol.47,No.2, pp.627–639.
 
Suh, N. P. (2001), Axiomatic Design: Advances and Applications, Oxford University Press, New York.
 
Sun, J, Kalenchuk, D.K., Xue, D. & Gu, P.(2000) , Design candidate identification using neural network-based fuzzy reasoning. Robotics and Computer Integrated Manufacturing ,Vol.16, pp.383-396.
 
Sundgren, N., (1999), Introducing Interface Management in New 106 Product Family Development, Journal of Product Innovation Management, Vol. 16, No. 1, pp. 40-51.
 
Sullivan (1987), The Power of Taguchi Methods, Quality Progress, Vol. 20, Iss. 6, pp .76-80.
 
Taguchi, G. ( 1986), Introduction to Quality Engineering. Asian Productivity Organization , Tokyo, Japan. Design Study ,Vol. 21, No. 3, pp. 239-260.
 
Tsai H.C. & Hsiao S.W. (2004), Evaluation of alternatives for product customization using fuzzy logic, Information Sciences,Vol.158,pp. 233-262.
 
Tsai H. C., Hsiao S.W. & Hung F.K.( 2006), An image evaluation approach for parameter-based product form and color design, Computer-Aided Design; Vol.38,No.2, pp.157-171.
 
Tsai H.C., Hung C.Y. & Hung F.K.(2007), Computer aided product color design with artificial intelligence, Computer-Aided Design & Applications, Vol.4,No.(1-4), pp.557-564.
 
Tsai H.C. & Chou J.R. (2007), Automatic design support and image evaluation of two-colored products using color association and color harmony scales and genetic algorithm, Computer-Aided Design; Vol.39,No9, pp.818-828.
 
Urban, G. L. & Hauser J. R. (1992), Design and Marketing of New Product Ⅱ, Englewood Cliffs, NJ: Prentice-Hall.
 
Vanegas, L. V. & Labib, A. W. (2005), Fuzzy approaches to evaluation in engineering design, Journal of Mechanical Design ,Vol.127,No.1, pp.24-33.
 
Wang ,J. (1997), A fuzzy outranking method for conceptual design evaluation, International Journal of Production Research , Vol.35,No.4,pp. 995-1010.
 
Wang, J.(2001), Ranking engineering design concepts using a fuzzy outranking preference model, Fuzzy Sets & Systems ,Vol.119, pp.161-170.
 
Wang ,J.(2002), Improved engineering design concept selection using fuzzy sets,International Journal of Computer Integrated Manufacturing ,Vol.15,No.1,pp.18-27.
 
Wittink, D. R. & Cattin, P. (1989). Commercial Use of Conjoint Analysis: An Update, Journal of Marketing, Vol.53, July, pp.91-96.
 
Wu ,S.I. (2001), A Evidence study of the product design method -- An Examination of cell phone,Commerce & Management Quarterly, Vol. 2, No.2, pp. 139-156.
 
Zadeh, L. A. (1965), Fuzzy Sets, Information and Control, Vol.8, pp. 338-353.
 
Zhang ,J. M., Wei ,X. P. & Wang, J. (2003) , Evaluating design concepts by ranking fuzzy numbers, The Second International Conference on Machine Learning and Cybernetics, Xi-an,China, ,Vol 4, pp.2596-2600.
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