簡易檢索 / 詳目顯示

研究生: 丁婉玉
Wan-Yu Ting
論文名稱: 應用模糊多準則決策於供應商選擇之研究–以行動通訊認證實驗室為例
Using Fuzzy Multi-Criteria Decision Making in Supplier Selection – A Case Study of Mobile Communication Laboratory
指導教授: 郭人介
Ren-Jieh Kuo
口試委員: 歐陽超
Chao Ou-Yang
胡同來
Tung-Lai Hu
許鉅秉
Jiuh-Biing Sheu
學位類別: 碩士
Master
系所名稱: 管理學院 - 工業管理系
Department of Industrial Management
論文出版年: 2012
畢業學年度: 100
語文別: 中文
論文頁數: 108
中文關鍵詞: 模糊多準則決策(MCDM)Fuzzy AHPFuzzy TOPSIS行動通訊實驗室供應商選擇
外文關鍵詞: Mobile communication laboratory, Fuzzy TOPSIS, Fuzzy of AHP, Fuzzy multiple criteria decision making (MCDM), Supplier selection
相關次數: 點閱:311下載:16
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • 近幾十年來,行動通訊產業發展迅速,從1980年代初期的第一代類比式行動通訊系統到現今的第四代行動寬頻技術- Long Term Evolution (LTE),產業成員不斷研發升級無線通訊技術以創造商機。
    隨著行動通訊產業的快速發展,相關的法規認證也陸續頒佈,產品在上市前除了要符合各國政府強制性認證的要求,也需進行相容性測試,甚至效能測試(Over the Air, OTA),產品才能順利在市場上販售。而上述這些測試認證必需在第三方公正認可的行動通訊認證實驗室才能進行。廠商在選擇行動通訊認證實驗室需要考量許多的因素,如專業度、價格、交期等,大部份的準則具質化性,導致決策人員無法用精確的數值做出判斷,且不同準則間的重要性程度也無法明確的區分,又專家在做決策時,其中存在著猶豫程度(Szmidt and Kacprzyk, 2000),無法被精確衡量的專家意見除了降低決策效率,將造成最終決策結果的誤差,所以行動通訊認證實驗室的選擇屬於模糊多準則決策(Multiple Criteria Decision Making, MCDM)問題。
    本研究透過國內外文獻探討和專家訪談,找出行動通訊認證實驗室評選的準則,利用模糊分析層級程序法(Analytic Hierarchy Process, AHP)求取評選準則的權重值,再將所求得之權重值整合模糊理想解類似度順序偏好法(Fuzzy Technique for Order Preference by Similarity to Ideal Solution, Fuzzy TOPSIS)對行動通訊認證實驗室做績效排序,並針對各實驗室提出適當的經營管理建議。期望藉由本研究之結果,提供一套系統化的實驗室評選模式,讓行動通訊製造商在進行測試認證實驗室評選時,能有更客觀及公正性的工具。


    In recent decades, the mobile communications industry is growing rapidly. From the early 1980s the first generation analog mobile communication systems to today's fourth-generation mobile broadband technology- Long Term Evolution (LTE), industry members continuously develop and upgrade the wireless communication technology to create business opportunities.
    With the rapid development of mobile communications industry, the relevant regulations are promulgated accordingly. Prior to entering the market, the product not only has to comply with the mandatory regulation published by governments, but also need to perform the conformance testing, even performance testing (Over the Air OTA). After the certificates issued, the product can be successfully sold in the market. These testing and certification are only allowed to performe in the accredited mobile communication laboratory. Manufacturers in selecting mobile communications laboratories need to consider many factors, such as professionalism, price, delivery and so on. Since mMost of the criteria are with qualitative resistance, the decision-makers can not make a judgment on the precise value and different criteria degree of importance can not be a clear distinction. Besides, experts usually make decisions with hesitation (Szmidt and Kacprzyk, 2000) and it causes that expert’s opinion can not be precisely measured as well as reduce the decision-making efficiency. Therefore, mobile communications laboratory selection can be treated as a fuzzy multiple criteria decision making (MCDM) problem.
    There are three purposes in this study. Firstly, identify the mobile communications laboratory selection criteria through literature review and expert interview. Secondly, use fuzzy AHP to evaluate the selection criteria weights. Finally, use the weight values evaluted by fuzzy AHP to integrate with fuzzy ideal solution similar for order preference (Fuzzy TOPSIS) for mobile communication laboratory performance ranking and propose appropriate management recommendations for each laboratory. Basically, this study can provide a systematic laboratory selection mode so that the mobile manufacturers can have a more objective and impartial tool during the testing and certification laboratory selection.

    目 錄 i 圖目錄 ii 表目錄 iii 摘 要 v Abstract vi 誌 謝 viii 第一章 緒論 1 第一節 研究背景與動機 1 第二節 研究目的 2 第三節 研究對象與範圍 4 第四節 研究流程與架構 6 第二章 文獻回顧 8 第一節 行動通訊檢測產業分析 8 第二節 國內行動通訊實驗室現況 13 第三節 供應商選擇之評估準則 14 第四節 認證實驗室成功關鍵因素探討 17 第五節 模糊理論 20 第六節 層級分析法 (AHP) 27 第七節 TOPSIS 33 第三章 研究方法 38 第一節 因素決定及AHP架構之決定 40 第二節 模糊層級分析法之問卷設計與資料收集 46 第三節 模糊層級分析法問卷分析 48 第四節 Fuzzy TOPSIS 55 第四章 研究結果 63 第一節 行動通訊認證實驗室評選準則權重的建立 63 第二節 實驗室評估準則一致性檢定 72 第三節 行動通訊認證實驗室績效評估 73 第四節 行動通訊認證實驗室績效評估之優劣排序 78 第五章 結論與建議 83 第一節 研究發現與結論 83 第二節 研究限制 89 第三節 未來研究建議 90 參考文獻 92 附錄一、 模糊多準則決策法行動通訊實驗室評選準則問卷 99

    中文部份
    王珮慈 (2010),「漸進式新產品開發流程之重要步驟分析—FuzzyAHP法之應用」,中正大學企業管理研究所碩士論文。
    江容 (2004),「 實驗室認證系統實施效益之研究」,成功大學工業與資訊管理學系碩士論文。
    別正容 (2006),「國內認證實驗室營運關鍵因素之研究 —以行動通訊實驗室為例」,中原大學企業管理研究所碩士論文。
    吳彥輝 (1996),「運用模糊層級分析法與管理才能評鑑模式之研究」,中山大學人力資源管理研究所碩士論文。
    吳思華 (2000),策略九說:策略的思考本質,三版,台北:臉譜出版社。
    吳萬益 (2001),企業研究方法,第三版,台北:華泰文化事業公司。
    李允中、王小璠、蘇木春 (2003),模糊理論及其應用,台北:全華科技圖書有限公司。
    李易諭 (2005),「模糊理論與多準則服務品質評估方法」,第一屆服務管理研討會論文集(二)。
    周重憲 (2004),「台灣汽車業全球供應鏈管理之國內外供應商評選要素研究」,中央大學企業管理研究所碩士論文。
    林世修 (2010),「群體決策模糊層級分析程序法之應用探討—以LED照明系統之評選為例」,明新科技大學工業工程與管理研究所碩士論文。
    林君翰 (2007),「台灣傑出獨立發明人新產品開發關鍵成它]素之研究─Fuzzy AHP 法之應用」,中正大學企業管理研究所碩士論文。
    林怡君 (2008),「整合分析網路程序法與資料包絡法於綠色供應商評選之研究」,台北科技大學工業工程與管理研究所碩士論文。
    洪振創 (1996),「群體決策下模糊績效評估模式之建構與應用」,元智大學工業工程學系研究所博士論文。
    徐村和 (1998),「模糊德菲層級分析法」,模糊系統學刊,第4卷,第1期,頁59-72。
    徐村和、楊宗欣 (1999),「媒體選擇影響因素之研究-習慣領域及灰色理論」,東吳經濟商學學報,第 24 期,頁115-138。
    徐燕娟 (2007),「以AHP法探討供應商遴選關鍵決定因素權重之研究- 以筆記型電腦週邊配件為例」,中央大學 企業管理研究所 碩士論文。
    馬松淇 (2007),「軟性飲料業新產品開發成功關鍵因素之探討-Fuzzy AHP之應用」,中正大學企業管理研究所碩士論文。
    張紹勳 (2012),模糊多準則評估法及統計,初版,五南圖書出版股份有限公司。
    畢威寧 (2005),「結合AHP與TOPSIS法於供應商績效評估之研究」,科學與工程技術期刊,第一卷,第一期,頁75-83。
    郭耀文 (2002),「商業實驗室經營管理成功關鍵因素之研究-以台灣檢驗科技公司為例」,中山大學企業管理學系研究所碩士論文。
    陳育甄 (2002),「模糊層級分析法應用於城際運具選擇模式之研究」,成功大學都市計劃學系碩博士班碩士論文。
    陳亭羽、林致廷 (2011),「建構在區間值模糊數之群體決策分析模型--以招募管道評選為例」,管理科學研究 ,第7卷,第二期,頁1-31。
    陳冠傑 (2004),「應用近似最佳解績效排序法於多目標設計決策之研究」,成功大學工業設計學系碩博士班碩士論文。
    陳燕美 (2007),「國際企業建構供應商評選系統之研究-以被動元件為例」,大葉大學國際企業管理學系碩士論文。
    彭南茜 (2008),「應用層級分析法於供應鏈管理下供應商評選之研究-以連鎖便利商店為例」,雲林科技大學工業工程管理研究所碩士論文。
    曾國雄、王榮祖 (2004),「公車系統績效評估之研究AHP法與FMADM之應用」,中山管理評論,第2卷,第2期,頁1-17。
    黃良鈞 (2008),「以模糊理論為基礎之個人化英文文章推薦系統」,成功大學工程科學系碩博士班碩士論文。
    黃貞盛 (2003),「我國台灣地區實驗室認證體系之研究」,國立台北科技大學生產系統工程與管理研究所碩士論文。
    楊崑山 (2000),「檢驗、驗證公司經營管理之探討--以台灣檢 驗科技股份有限公司SGS Taiwan為例」,中山大學高階經營碩士班碩士論文。
    劉伯村 (2004),「應用模糊多屬性決策法於博物館服務品質評估之研究」,南台科技大學工業管理研究所碩士學位論文。
    蔡雅寧 (2010),「結合AHP與DEMATEL探討供應商評選準則之優先次序與因果關係-以汽車零配件產業為例」,彰化師範大學企業管理學系碩士論文。
    鄧振源、曾國雄 (1989),「層級分析法(AHP)的內涵特性與應用(上)」,中國統計學報,第27卷,第6期,頁5-22。
    鄧振源、曾國雄 (1989),「層級分析法(AHP)的內涵特性與應用(下)」,中國統計學報,第27卷,第7期,頁1-20。
    蕭愛麗 (2011),「供應鏈管理下鞋業塑膠供應商評選之研究」,雲林科技大學全球運籌管理研究所碩士論文。
    龔振裕 (2007),「SGS商業實驗室經營管理關鍵成功因素之研究」,中山大學企業管理學系研究所碩士論文。
    英文部份
    Buckley, J. J. (1985), “Fuzzy Hierarchical Analysis,” Fuzzy Sets and Systems, Vol. 17. pp.233-247.
    Chang, Y. H. and C. H. Yeh(2002), “A survey analysis of service quality for domestic airlines,” European Journal of Operational Research, Vol.139, pp. 166-177.
    Chang,P.T. and E.S. Lee (1995), “The Estimation of Normalized Fuzzy Weights, ” Computers and Mathematics with Applications, Vol. 29, pp. 21-42.
    Chen C. T. (2000), “Extensions of the TOPSIS for Group Decision-Making under Fuzzy Environment,” Fuzzy Sets and Systems, Vol. 114, pp. 1-9.
    Chen S. J. and C. L. Hwang (1992), Fuzzy Multiple Attribute Decision Making Methods and Applications, Springer-Verlag, Berlin Heidelberg.
    Chen C. M. and L. J. Duh (2008), “Personalized Web-Based Tutoring System Based on Fuzzy Item Response Theory,” Expert Systems with Applications, Vol. 34, pp. 2298-2315, 2008.
    Choi, T.Y., and Hartley, J.L. (1996), “An Exploration of Supplier Selection Practices across the Supply Chain,” Journal of Operations Management, Vol. 14, No. 4, pp.333-343.
    Dickson, G.W. (1996), “An Analysis of Vendor Selection Systems and Decision,” Journal of Purchasing, Vol. 2, No.1, pp. 5-17.
    Dubois D. and Prade H. (1978), “Operations on Fuzzy Numbers,” International Joural of System Science, Vol. 9, No. 1, pp. 613-626.
    Ellram, L. M. (1990), “The supplier selection decision in strategic partnership”, International Journal of Purchasing and Materials Management, Vol. 26, No. 4, pp.8-14.
    Feng, C. M. and R. T. Wang (2000), “Performance evaluation for airlines including the consideration of financial ratios,” Journal of Air Transport Management, Vol. 6,pp. 133-142.
    Gülçin Büyüközkan and Gizem Çifçi (2012), "A combined fuzzy AHP and fuzzy TOPSIS based strategic analysis of electronic service quality in healthcare industry", Expert Systems with Applications, Vol. 39, pp.2341-2354.
    Chiou H. K. and G. H. Tzeng. (2002) “Fuzzy Multicriteria Decision- Making Approach to Analysis and Evaluation of Green Engineering for Industry,” Environmental Management, Vol. 30, No. 6, pp. 816-830.
    Hwang C. L. and K. Yoon (1981), Multiple Attribute Decision Making Methods and Applications, Springer, Berlin Heidelberg.
    Jee D. H. and K. J. Kang (2000), “A Method for Optimal Material Selection Aided with Decision Making Theory,” Materials and Design, Vol. 21, pp. 199-206.
    Kaufmann, A. and Gupta, M. M. (1991), Introduction to fuzzy arithmetic:Theory and application, Van Nostrand Reinhold, New York.
    Laarhoven, P. J. M. and Pedrycz, W. (1983), “A fuzzy extension of Satty’s priority theory, ” Fuzzy Sets and System, Vol. 11, pp. 229-241.
    Lasek, M. (1993), "Hierarchical Structures of Fuzzy Ratings in the Analysis of Strategic Goals of Enterprises,” Fuzzy Sets and Systems, Vol. 50, pp. 127-134.
    Lee E. S. and R. L. Li(1988), “Comparison of fuzzy numbers based on the probability measures of fuzzy events,” Computers and Mathematics with Application, Vol 15, pp. 887-896.
    Levitt, T. (1972), “Production-Line Approach to Service,” Harvard Business Review, Vol. 50, pp. 41-52.
    Liang G. S. (1999), “Fuzzy MCDM based on ideal and anti-ideal concepts,” European Journal of Operational Research, Vol. 112, pp. 682-691.
    Mon, D.L., Cheng, C.H., & Lin, J.C. (1994), “Evaluating Weapon System Using Fuzzy Analytic Hierarchy Process Based On Entropy Weight,” Fuzzy Sets and Systems, Vol. 62, pp. 127-134.
    Negi, D. S. (1989), “Fuzzy Analysis and Optimization,”Ph. D. Thesis, Department of Industrial Engineering, Kansas State University.
    Patton, W.W. (1996), “Use of Human Judgment Models in Industrial Buyer's Vendor Selection Decisions,” Industrial Marketing Management, Vol. 25, pp. 135-149.
    Porter, M. E. (1980), Competitive Strategy. New York: The Free Press.
    Porter. M. E. (1985), Competitive Advantage: Creating and Sustaining Superior Performance, New York: The Free Press,
    Ruoning, Xu. and Xiaoyan, Zhai. (1992),“ Extension of the analytic hierarchy process in fuzzy enviornment, ” Fuzzy Sets and Systems, Vol.52, pp. 251-257.
    Saaty, T. L. (1996), “Decising making with Dependence and Feedback : The Analytic Network Proces,” RWS.Pittsburgh.
    Saaty, T. L. (1980), “How to make a decision: the analytic hierarchy process,” European Journal of Operational Research, Vol. 48, pp. 9-26.
    Saaty, T. L. (1980), “The Analytic Hierarchy Process-Planning, Priority Setting, Resource Allocation,” McGraw-Hill, New York.
    Tagaras, G. and H. L. Lee (1996). “Economic Model for Vendor Selection with Quality Cost Analysis,” Management Science, Vol. 42(11), pp. 1531-1543.
    Timers, P. (1998), “Business models for electronic markets,” Electronic Markets, Vo1. 8, No. 2, PP. 3-8.
    Tsuar, S. H., T. Y. Chang & C. H. Yen(2002), “The evaluation of airline service quality by fuzzy MCDM,” Tourism Management, Vol. 23, pp.107-115.
    Ullah A.M.M.S. and K.H. Harib (2008), “An Intelligent Method for Selecting Optimal Materials and Its Application,” Advanced Engineering Informatics, Vol 22, Issue 4, pp. 473–483.
    Vargas, L.G. and J.J. Dougherty (1982), “The Analytical Hierarchy Process and Multicriterion Decision Making,” American Journal of Mathematical and Management Sciences Vol. 2.
    Wadhwa, V.J. and A Ravindran R.V. (2007), “Vendor Selection in Outsoourcing,” Computers & Operations Research. Vol. 34, Issue 12, pp. 3725.
    Xiaobing Yu, Shunsheng Guo, Jun Guo & Xiaorong Huang (2011), "Rank B2C e-commerce websites in e-alliance based on AHP and fuzzy TOPSIS," Expert Systems with Applications, Vol. 38, pp. 3550-3557.
    Zadeh, L. A. (1965), ”Fuzzy Sets,” Information and Control, Vol. 8, pp. 338-353.
    Zadeh, L.A. (1975), “The Concept of a Linguistic Variable and its Application to Approximate Reasoning,” Information Science, No. 8, pp. 199-249.
    相關網站
    GCF (Global Certification Forum), http://gcf.gsm.org
    PTCRB (PCS Type Certification Review Board), http://www.ptcrb.com
    CGC (Communication Globle Certification), http://www.cgctw.com

    QR CODE