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研究生: 朱廷霖
Chu, Ting-Lin
論文名稱: 基於需求工程之混合多準則決策架構評估分頻多工簡訊中心設備為例
A Requirement Engineering Based Hybrid MCDM Model for Evaluating CDMA SMSC Equipments
指導教授: 黃啟祐
Huang, Chi-Yo
學位類別: 碩士
Master
系所名稱: 工業教育學系
Department of Industrial Education
論文出版年: 2010
畢業學年度: 98
語文別: 英文
論文頁數: 70
中文關鍵詞: 供應商選擇問題簡訊中心多準則決策決策實驗室分析法分析網路流程法VIKOR需求工程
英文關鍵詞: Vendor Selection Problem (VSP), Short Message Service Center (SMSC), Multiple Criteria Decision Making (MCDM), Decision-Making Trial and Evaluation Laboratory (DEMATEL), Analytic Network Process (ANP), VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR), Requirements Engineering
論文種類: 學術論文
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3G無線通信協定為一可以同時傳輸語音和資料封包,包括影像,圖片以及網際網路之協定,也已經成為電信系統的主流。在全球主要國家中,包括美國、日本、加拿大等3G用戶數已經超過2G的用戶數,此外,全球3G用戶數量預計在2011年將會超過 2G用戶。簡訊服務是一個重要的3G電信服務。在2007年全世界發出了大約1.9萬億封簡訊,電信運營商收入約520億美元。鑑於簡訊用戶市場正在蓬勃發展迅速,電信服務供應商需要建立新的簡訊中心(SMSC)和收費系統,提供對預付卡用戶的支援,消除計費欺詐,提高網路和設備的頻寬,並增加創新的簡訊服務。適當的簡訊中心設備可以幫助3G服務供應商降低運營成本,提高用戶平均貢獻值和提升的通訊網路的品質,對3G服務的成功不可或缺,故評價和選擇簡訊中心的設備是不可少的。儘管簡訊中心如此重要,3G服務供應商的經理人僅依據主觀討論的結果選擇設備,缺乏客觀且量化的方法。所以在現實生活中,需要完善的決策分析架構以探索3G服務供應商的需求,以評估和選擇適當的簡訊中心設備。因此,本研究旨在透過需求工程(RE)的概念,從發現問題的過程、記錄需求和管理需求來架構簡訊系統需求要素,並以一個基於需求工程的混合式多準則決策平台架構,評估和選擇簡訊中心設備。本研究中最初將由服務創新、供應商選擇問題以及需求工程之相關文獻進行探討,並進而介紹3G分頻多工無線通訊協定、簡訊、簡訊中心,以基於需求工程的腦力激盪法取得簡訊中心設備的系統需求要素以及供應商的關鍵能力要素。建立多準則決策架構後以決策實驗室分析法(DEMATEL)建立的決策架構圖,接著用分析網路流程法(ANP)的求出簡訊中心設備要素的權重。最後採用可以產生最佳妥協解的VIKOR 法,對於各家簡訊中心設備的廠商進行評估和排序。實證研究將以某3G電信服務供應商評估簡訊中心設備的案例得到確認本研究方法的可行性。本研究主要的問題,如何選擇合適的簡訊中心設備在此得到解決方法。與此同時,本研究的研究方法架構也可應用於解決類似的設備採購決策問題。最後,未來可以根據本研究方法結果加強3G服務供應商的創新簡訊服務策略。

The 3G protocol, the wireless communication protocol which can transmit both voice and digital data including video, image as well as internet protocols, has already become the standard of mainstream mobile telecommunication systems and dominated the market. 3G subscribers have already surpassed 2G in major economies including the U.S., Japan, etc. Further, the number of global 3G subscribers is expected to surpass the number of 2G subscribers in 2011. SMS (Short Message Service) is one of the most important 3G mobile telecommunication services. Around 1.9 trillion text messages were sent in 2007, generating about USD 52 billion revenues for mobile operators. Given the fact that the SMS user market is booming rapidly, telecommunication service providers need to set up SMS Centers (SMSC) for charging systems, prepaid subscribers, eliminating billing frauds, performance of network and innovation SMS service. Appropriate SMSC equipments can assist 3G service providers in reducing operation costs, improving ARPU (Average Revenue per User) contributions and enhancing quality of communication network. Apparently, SMSC equipments evaluation and selection are essential for 3G service success. Albeit important, management of 3G service providers usually made equipment selection decisions based on intuitive discussions that are not subjective. In the real world, various aspects consisting of criteria regarding the service providers’ needs should be considered and evaluated while selecting appropriate SMSC equipments. Thus, this research aims to introduce the concept of Requirement Engineering (RE), the process of discovering, documenting and managing the requirements for deriving a set of system requirements, and define a RE based Hybrid MCDM framework for SMSC equipment evaluations and selections. At first, the SMS, SMSC, evaluation criteria of SMSC equipments, vendor selection problem (VSP), and requirements engineering (RE) related literature will be reviewed. Then, the brainstorming based RE method will first be used to derive criteria for evaluating vendor’s critical capability. A multiple criteria decision making (MCDM) framework consisting of the Decision Making Trial and Evaluation Laboratory (DEMATEL) as the tool for configuring the decision problem structure, the analytic network process (ANP) will be introduced for deriving weights versus each criterion for evaluating possible SMSC equipments (alternatives). Finally, the VIKOR will be introduced for ranking the alternatives. An empirical study being modified from a Taiwanese 3G service provider’s evaluation of SMSC equipments will be provided for verifying the feasibility of the proposed method. The most critical issues for selecting appropriate SMSC equipment will expect to be derived. Meanwhile, the proposed framework can be applied in like applications in the future. Finally, strategies for enhancing the service innovation of the selected vendor will be propose.

誌謝 ii 摘要 iii Abstract v Table of Contents vii List of Tables ix List of Figures x Chapter 1 Introduction 1 1.1 Background and Motivations 1 1.2 Objectives 2 1.3 Research Procedures 2 1.4 Research Contributions and Limitations 3 1.5 Research Structures 4 1.6 Research Results 4 Chapter 2 Literature Review 5 2.1 Service Innovation 5 2.2 Vendor/Supplier Selection 6 2.3 Requirement Engineering 10 Chapter 3 Research Methodology 15 3.1 Brainstorming based RE 16 3.2 DEMATEL Method 16 3.3 The ANP Method 20 3.4 The VIKOR Method 25 3.5 Outline of the Steps in the Analytical Methods 27 Chapter 4 CDMA and SMSC 30 4.1 3G CDMA 30 4.2 SMS and SMSC 33 4.3 The Importance of SMS and SMSC 35 Chapter 5 An Empirical Study on a CDMA SMSC Service Provider’s Equipment Selection 42 5.1 Criteria and Alternatives Derivations 42 5.2 Decision Problem Structuring by DEMATEL 44 5.3 Calculating the Weights versus Each Criterion by ANP 49 5.4 Rank the Alternatives by VIKOR 50 Chapter 6 Discussion 52 Chapter 7 Conclusions 56 References 57 Appendix A: Expert List 64 Appendix B: Questionnaire 65

Alenljung, B. & Persson, A. (2008). Portraying the practice of decision-making in requirements engineering: a case of large scale bespoke development. London: Springer-Verlag.
Amid, A., Ghodsypour, S. H. & O’Brien, C. (2009). A Weighted Additive Fuzzy Multiobjective Model for the Supplier Selection Problem under Price Breaks in a Supply Chain. Int. J. Production Economics 121 (2009) 323–332, Shahid Beheshti University, Tehran, Iran.
Aricent. (2009). SMSC Framework 5.0 Overview.
http://www.hssworld.com/commapps/smsc/faq.htm
Baldwin, M. (2009). OpenMarket Launches SMS Advertising Service. Seattle, WA.
http://www.openmarket.com/about-us/press-release10-07-09.html
Björkdahl, J. & Bohlin, E. (2003). Competition policy and scenarios for European 3G markets. Communications & Strategies. Chalmers University of Technology, Göteborg, Sweden.
Bodic, G. L. (2003). Mobile Messaging Technologies and Services: SMS, EMS and MMS. England: Wiley.
CDMA Development Group (CDG). (2007). CDMA2000 for Developing Markets: How CDMA2000 1X, EV-DO Rev. A and VoIP will satisfy the demand for affordable telecommunications. Costa Mesa, CA 92626 USA: United States Office.
http://www.cdg.org/resources/files/white_papers/CDMA2000_Developing_Markets_Jan07.pdf
CDMA Development Group (CDG). (2009). CDMA Technology. Costa Mesa, CA 92626 USA: United States Office.
http://www.cdg.org/technology/index.asp
CDMA Development Group (CDG). (2010). CDMA2000: Market Trends and Facts. Costa Mesa, CA 92626 USA: United States Office. http://www.cdg.org/resources/files/fact_sheets/CDG_MarketTrendsFacts_English.pdf
Cebi, F. & Bayraktar, D. (2003). An integrated approach for supplier selection. Logistics Information Management 16(6), 395–400.
Chin, Y. Y. (2008). Taiwan's Internet operations observation, Institute for Information Industry, Taiwan.
CTIA (2009). The Wireless Association® Announces Semi-annual Wireless Industry Survey Results.
http://www.ctia.org/media/press/body.cfm/prid/1811
Degraeve, Z. & Roodhooft, F. (2000). A mathematical programming approach for procurement using activity based costing. Journal of Business Finance and Accounting, 27(1/2), 69–98.
Dickson, G. W. (1966). An analysis of vendor selection systems and decisions. Journal of Purchasing, 2(1), 5-17.
Domb, E. (1997). Using the idea final result to define the problem to be solved. The TRIZ Journal. Upland, CA 91786, USA.
http://www.triz-journal.com/archives/1998/06/d/index.htm
Ferkertich, S. (1990). Focus on psychometrics: Internal consistency estimates of reliability. Research in Nursing & Health, 13(6), 437-440.
Gabus, A. & Fontela, E. (1972). World problems, an invitation to further thought within the framework of DEMATEL. Switzerland, Geneva: Battelle Geneva Research Centre.
Garlan, D. (2000). Software Architecture: A Roadmap. School of Computer Science, Carnegie Mellon University.
Ghodsypour, S. H. & O’Brien, C. (1997). An integrated method using the analytical hierarchy process with goal programming for multiple sourcing with discounted prices. Proceedings of 14th International Conference on Production Research (ICPR), Osaka, Japan.
Goguen, J. & Jirotka, M. (Ed.). (1994). Requirements Engineering: Social and Technical Issues. London: Academic Press.
Huang, J. J., Tzeng, G. H. & Ong, C. S. (2005). Multidimensional data in multidimensional scaling using the analytic network process. Pattern Recognition Letters, 26(6), 755-767.
HP Services Supermarket (2004). Application SMSC. Hewlett-Packard Company http://h71028.www7.hp.com/enterprise/downloads/application_smsc.pdf.
Sommerville, I. (2004). Software Engineering (7th ed.). Harlow, England: Addison Wesley.
Gordijn, J. & Akkermans, J.M. (2003). Value-based requirements engineering: exploring innovative e-commerce ideas. London: Springer-Verlag.
Karpak, B., Kumcu, E. & Kasuganti, R. (1999). An application of visual interactive goal programming: a case in vendor selection decisions. Journal of Multi-criteria Decision Analysis, 8, 93–105.
Kumar, M. Vrat, P. & Shankar, R. (2004). A fuzzy goal programming approach for vendor selection problem in a supply chain. Computers & Industrial Engineering, 46(1), 69–85.
Laplante, P. A. (2007). What Every Engineer Should Know about Software Engineering. NY: CRC Press.
Lee, H. I., Kang, H.Y., Liu, T. C. & Wang, W. M. (2007). A buyer-supplier relationship evaluation model with the consideration of benefits, opportunities, costs and risks. 13th Asia Pacific Management Conference, Melbourne, Australia, 2007, 753-759. Taiwan.
Lin, C. J. & Wu, W. W. (2008). A causal analytical method for group decision-making under fuzzy environment. Expert Systems with Applications, 34(1), 205-213.
Martínez-Martínez, J. G. (2007). Use of an alternative decision support system in vendor selection decisions. Fall 2007, 3(2), 1.
McCall, T. (2009). Gartner Says Mobile Messages to Surpass 2 Trillion Messages in Major Markets in 2008. Gartner, Inc.
http://www.gartner.com/it/page.jsp?id=565124
Miles, I. (2000). Service innovation: coming of age in the knowledge based economy. International Journal of Innovation Management, 4(4), 371–389.
MoblieIN.com (2009). Short message service. MoblieIN.com.
http://www.mobilein.com/sms.htm
National Communications Commission (NCC). (2009). Telecommunication figures in 2008. National Communications Commission. Taiwan.
http://www.ncc.gov.tw/english/show_file.aspx?table_name=news&file_sn=164
Nuseibeh, B. A. & Easterbrook, S. M. (2000). Requirements engineering: a roadmap. ICSE'00: Proceedings of the Conference on The Future of Software Engineering, 35-46.
Orasanu, J. & Connolly, T. (1993). The reinvention of decision making. In: Klein GA et al (eds.) Decision Making in Action: Models and Methods , 3–20. Ablex Publishing, Norwood.
Organisation for Economic Co-operation and Development (OECD). (2005). OSLO MANUAL.
http://www.oecd.org/dataoecd/35/61/2367580.pdf
Poulbere,V. & Ovum (2005). The story of SMS global market development. Huawei Technologies, Issue 17.
http://www.huawei.com/publications/view.do?id=279&cid=94&pid=61
Real.com (2008). Helix SMS Optimizer . Real.com.
http://docs.real.com/docs/rn/datasheet/S415_SMS_Optimizer.pdf
Ruhe, G. (2003). Software engineering decision support: methodology and applications. Innovations in Decision Support Systems. Advanced knowledge international, 3, 143–174.
Saaty, T. L. (1980). The Analytic Hierarchy Process. NY: McGraw-Hill.
Saaty, T. L. (1996). Decision making with dependence and feedback: The analytic network process. Pittsburgh: RWS Publications.
Saaty, T. L. (2001). Decision making with dependence and feedback: The analytic network process (2nd ed.). Pittsburgh, USA: RWS Publications.
Saaty, T. L. (2003). Decision making in complex environments. Super Decisions.
Sayadi, M. K., Heydari, M. & Shahanaghi, K. (2009). Extension of VIKOR method for decision making problem with interval numbers. Applied Mathematical Modelling, 33(5), 2257-2262.
Shyur, H. J. & Shih, H. S. (2006). A hybrid MCDM model for strategic vendor selection. Mathematical and Computer Modelling, 44(7/8) 749-761.
Sintesb, F. O. & Mattssona, J. (2009). Innovation behavior in the hotel industry. Omega, 37(2), 380–394.
Skomra,S. A. (2008). Insights Into the SMS Industry and Market Trends. Qualcomm Enterprise Services Director Business Development. San Diego, CA 92121.
Sommerville, I. & Sawyer, P. (1997). Requirements Engineering: A Good Practice Guide (1st ed.). NY: John Wiley & Sons.
Tam, M. C. Y. & Tummala, V. M. R. (2001). An application of the AHP in vendor selection of a telecommunications system. The International Journal of Management Science, Omega, 29(2), 171-182.
Tang, M. T. & Tzeng, G. H. (1999). A hierarchy fuzzy MCDM method for studying electronic marketing strategies in the information service industry. Journal of International Information Management, 8(1), 1-22.
Teng, J. Y. & Tzeng, G. H. (1996). Fuzzy multicriteria ranking of urban transportation investment alternative. Transportation Planning and Technology, 20(1), 15-31.
Tsaur, S. H., Tzeng, G.H. & Wang, K. C. (1997). Evaluating tourist risks from fuzzy perspectives. Annals of Tourism Research, 24(4), 796-812.
Tzeng, G. H. & Teng, J. Y. (1994). Multicriteria evaluation for strategies of improving and controlling Air-Quality in the super city: a case of Taipei city. Journal of Environmental Management, 40(3), 213-229.
Tzeng, G. H. & Tsaur, S. H. (1993). Application of multicriteria decision making to old vehicle elimination in Taiwan. Energy and Environment, 40(3), 265-283.
Tzeng, G. H., Shian, T. A. & Lin, C. Y. (1992). Application of multicriteria decision making to the evaluation of new Energy-System development in Taiwan. Energy, 17(10), 983-992.
Tzeng, G.H. (2005). Fuzzy MCDM in Past, Present, and Future, Taiwan.
United Nations Conference on trade and Development (UNCTAD). (2008). WSIS follow-up Report 2008. UNCTAD.
van Riel, A.C.R. (2005). Service innovation management. Managing Service Quality. 15(6), 491-610.
Yang, C. Y. (2008). The First Quarter of 2008, China's mobile Internet Observation. Institute for Information Industry. Taipei, Taiwan,
Yang, J. L. , Chiu,H. N. , Tzeng, G. H. & Yeh, R. H. (2008). Vendor selection by integrated fuzzy MCDM techniques with independence and interdependence, Information Sciences: an International Journal, Taipei, Taiwan.
Weber, C. A., Current, J. R. & Benton, W. C. (1991). Vendor selection criteria and methods. European Journal of Operational Research, 51(1), 2-18.
Weber, C. A. & Current, J. R. (1993). A multiobjective approach to vender selection. European Journal of Operational Research, 68(1), 173–184.
Wiegers, K. E. (2003). Software Requirements 2: Practical Techniques for Gathering and Managing Requirements Throughout the Product Development Cycle (2nd ed.). Redmond: Microsoft Press.
Wu, W. W. (2008). Choosing knowledge management strategies by using a combined ANP and DEMATEL approach. Expert Systems with Applications, 35(3), 828-835.
Wu, W. W. & Lee, Y. T. (2007). Developing global managers’ competencies using the fuzzy DEMATEL method. Expert Systems with Applications, 32(2), 499-507.
Zadeh, L. A. (1975a). The concept of a linguistic variable and its application to approximate reasoning, parts 1, Information Science, 8(2), 199-249.
Zadeh, L. A. (1975b). The concept of a linguistic variable and Its application to approximate reasoning, parts 2. Information Science, 8(3), 301-357.
Zadeh, L. A. (1975c). The concept of a linguistic variable and its application to approximate reasoning, parts 3. Information Science, 9(1), 43-80.
ZTE (2010). ZTE Anyservice SMSC System. ZTE.
http://wwwen.zte.com.cn/en/solutions/vas/anyservice/200711/t20071108_157334.html

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