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研究生: 劉永康
Liu, Yung-Kang
論文名稱: 以渴望導向之多準則決策分析模式定義基於品質機能展開、萃思法、失效模式與影響分析之創新策略
Defining Innovation Strategies by Aspiration Oriented MCDM Methods Based QFD, TRIZ and FMEA
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: 2018
畢業學年度: 106
語文別: 英文
論文頁數: 166
中文關鍵詞: 互動式電子白板修正式德菲法品質機能展開萃思法失效模式與效應分析多準則決策分析決策實驗室分析法決策實驗室網路程序分析法灰關聯分析法VIKOR
英文關鍵詞: Interactive whiteboard system, Modified Delphi method, Quality Function Deployment (QFD), TRIZ, Failure Mode Effect Analysis (FMEA), Multiple-criteria Decision Making (MCDM), Decision- Making Trial and Evaluation Laboratory (DEMATEL), DEMATEL-based Network Process (DNP), Grey Relational Analysis (GRA), VIKOR
DOI URL: http://doi.org/10.6345/THE.NTNU.DIE.040.2018.E01
論文種類: 學術論文
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  • 互動式電子白板應用於提升傳統白板在開會及講課時的互動性。系統融入滑鼠的操控功能,延伸傳統白板在繪圖、標註、互動和啟發上的效能。這項創新的應用,在各國市場銷售落差很大,市調機構預估全球互動式電子白板每年有1,000 萬台左右市場需求,顯見這項產品設計改善深具市場價值。本研究擬使用修正式德菲法、品質機能展開、萃思法、失效模式及效應分析之多準則決策方法提升互動式電子白板的設計。首先,透過文獻探索,以修正式德菲法達成專家一致共識,建構品質機能展開法之顧客需求要素與設計特性,並籍由決策實驗室分析法及網路程序分析法推導要素指標之影響關係及權重,作為問題決策之架構。進一步運用灰關聯分析法,分析顧客需求要素與設計特性兩者間之關聯度,將重要關鍵的設計特性,作失效模式分析及效應分析,擬定預防改善措施。最後,分別再以萃思法定義創新策略、VIKOR 選擇創新策略。本研究結論,售價、銷售通路、電池及電池壽命等設計特性,是以顧客為導向之重要關鍵指標。在電池失效模式及效應分析中,標示警語「勿接近高溫或火源」、「長時間不使用請將電池取出」及增加電池反裝保護迴路為安全改善預防措施。在設計需求衝突上,使用可更換式電池為產品創新策略。期能藉由研究過程建立一套系統化的設計流程,提供給A 公司作為互動式電子白板的設計參考,佳惠更多產品。

    Interactive whiteboards should be used to enhance the interaction of traditional whiteboards during meetings and lectures. The system incorporates mouse-handling capabilities to extend the performance of traditional whiteboards in drawing, annotation, interaction and inspiration. This innovative application causes a great of difference in market sales among countries. Market research agency estimates that the global interactive whiteboard has
    about 10 million market demands per year. Obviously, improvement of this product design has a great market value. This study aims to improve the design of the interactive whiteboard system by using Multiple-criteria Decision Making (MCDM) of Modified Delphi method, Quality Function Deployment (QFD), TRIZ, Failure Mode and Effect Analysis (FMEA). First of all, through the research of the literature, a consensus of experts could be made by a
    Modified Delphi method, to build customers’ needs and design characteristics of Quality Function Deployment, and the relationship and the weight between factors were derived by the Decision- Making Trial and Evaluation Laboratory (DEMATEL) and DEMATEL-based Network Process (DNP) as the framework for decision-making. Further, the correlation between the elements of customers’ need and design characteristics was analyzed by using Grey Relational Analysis (GRA) method. The key design characteristics were used in Failure Mode and Effect Analysis (FMEA) to develop preventive measures. Finally, we define the innovation strategy with the TRIZ method and choose the innovation strategy with VIKOR. This study concludes that design characteristics such as price, sales channel, battery and battery life are important customer-oriented indicators. In the battery failure mode and effect analysis, the warning words "Do not approach high temperature or fire", "Please remove the battery if not used for a long time" and increase the battery reverse protection circuit are safety improvement measures. In the conflict of design requirements, the use of replaceable batteries as a product innovation strategy. Through the research process to establish a systematic design process.
    Provided to Company A as a design reference for interactive whiteboards, and
    more products.

    摘要 ..............................................i ABSTRACT ........................................ ii Table of Contents ............................... iv List of Table ................................... vi List of Figure ................................ viii Chapter 1 Introduction ............................1 1.1 Research Background .......................... 1 1.2 Research Motivations ......................... 3 1.3 Research Purposes ............................ 5 1.4 Research Procedure ........................... 6 1.5 Research Limitations...........................7 1.6 Thesis Structure ............................. 9 Chapter 2 Literature Review ..................... 11 2.1 Customer-oriented Innovation ................ 11 2.2 Customer-driven Product Design ...............13 2.3 Product Design-optimization ................. 14 2.4 Quality Function Deployment ................. 15 2.5 Failure Mode and Effects Analysis ........... 19 Chapter 3 Research Method ....................... 25 3.1 Modified Delphi Method ...................... 25 3.2 TRIZ ........................................ 28 3.3 Multiple Criteria Decision Making ........... 33 Chapter 4 Empirical Study ....................... 51 4.1 Background of the Empirical Case ............ 51 4.2 Modified Delphi Method to Confirm Customer Needs.. 52 4.3 Decision the Needs of Customer Structuring by DEMATEL.. 53 4.4 Decision the Needs of Customer Structuring by DNP .. 73 4.5 Quality Function Deployment Model .. 81 4.6 Grey Relational Analysis of Quality Function Deployment .. 84 4.7 Constructing the Correlation among Design Characteristics .. 90 4.8 Failure Mode and Effect Analysis of Design Characteristics .. 92 4.9 Definition of Innovation Strategy for Design Characteristics .. 100 4.10 Choosing the Best Innovation Strategy .. 103 Chapter 5 Discussion ........................... 105 Chapter 6 Conclusions .......................... 115 Reference....................................... 119 Appendix ....................................... 129 Appendix A. 39 Engineering Characteristics Parameters .. 129 Appendix B. Description of 40 Innovative Rules of TRIZ .. 130 Appendix C. Questionnaire ...................... 134

    Ali, K., & Saed, M. (2002). Product design for modularity.
    Norwell, USA.:Kluwer Academic.

    Ballantyne, R., Hughes, K., & Bond, N. (2016). Using a
    Delphi approach to identify managers' preferences for
    visitor interpretation at Canterbury Cathedral World Heritage Site. Tourism Management, 54, 72-80.

    Beeland, W. (2002). Student engagement, visual learning, and technology: A report on 10 years of ACOT research.
    Educational Psychology, 20(1),45-57.

    Betz, R. E., Lagerquist, R., Jovanovic, M., Miller, T. J., & Middleton, R. H.(1993). Control of synchronous reluctance machines. IEEE Transactions on Industry Applications, 29(6), 1110-1122.

    Boberg, A. L., & Monis-Khoo, S. A. (1992). The Delphi method: A review of methodology and an application in the evaluation of a higher education program. The Canadian Journal of Program Evaluation, 7(1), 27.

    Božic, L., & Ozretic-Došen, Ð. (2015). Enabling innovation
    and creativity in market-oriented firms. Baltic Journal
    of Management, 10(2), 144-165.

    Chakraborty, S., & Dey, S. (2007). QFD-based expert system for non-traditional machining processes selection. Expert Systems with Applications, 32(4), 1208-1217.

    Chang, D.-S., & Paul Sun, K.-L. (2009). Applying DEA to enhance assessment capability of FMEA. International Journal of Quality & Reliability Management, 26(6), 629-643.

    Chen, J.-K., & Lee, Y.-C. (2007). Risk priority evaluated by ANP in failure mode and effects analysis. Quality Tools and Techniques, 11(4), 1-6.

    Chiu, Y.-J., Chen, H.-C., Tzeng, G.-H., & Shyu, J. Z.(2006). Marketing strategy based on customer behaviour for the LCD-TV. International journal of management and decision making, 7(2-3), 143-165.

    Cohen, L. (1988). Quality function deployment: An application perspective from digital equipment corporation. Global Business and Organizational
    Excellence, 7(3), 197-208.

    Cohen, L. (1995). Quality function deployment: how to make QFD work for you. Upper Saddle River, New Jersey, USA.: Prentice Hall.

    Cooper, R. G. (2013). New products: What separates the winners from the losers and what drives success. PDMA handbook of new product development, 3-34. New Jersey, USA.: John Wiley & Sons, Inc.

    Dalkey, N., & Helmer, O. (1963). An experimental application of the Delphi method to the use of experts. Management science, 9(3), 458-467.

    Davis, F. D. (1993). User acceptance of information technology: system characteristics, user perceptions and behavioral impacts. International journal of man-machine studies, 38(3), 475-487.

    Dawson, M. D., & Brucker, P. S. (2001). The utility of the Delphi method in MFT research. American Journal of Family Therapy, 29(2), 125-140.

    Deng, J. (1982). Control problems of grey systems. Systems & Control Letters, 1(5), 288-294.

    Deng, J. (1985). Fundamental methods of grey systems. Wuhan, China.:Huazhoug University of Science and Technology.

    Deng, J. (1986). Grey forecasting and decision. 97-134 Wuhan, China.:Huazhong University of Science and Technology.

    Deng, J. (1988). Grey system book. Science and Technology Information Services, Windsor. Wuhan, China.: Huazhong University of Science and Technology.

    Deng, J. (1989). Introduction to grey system theory. The Journal of grey system, 1(1), 1-24.

    DIGITIMES(2014). Thousands of interactive whiteboard business opportunities in the world detonated, Intel is fully rushing to the mainland education market. Taipei, R.O.C.: Market report of DIGITIMES.

    Ding, J., & Tseng, W. (2012). Applying fuzzy AHP approach to evaluate key operational safety elements for exclusive container terminals of Kaohsiung Port in Taiwan. WSEAS Transactions on Mathematics, 11(10), 855-865.

    Firmin, M. W., & Genesi, D. J. (2013). History and Implementation of Classroom Technology. Procedia - Social and Behavioral Sciences, 93(2), 1603-1617.

    Futuresource Consulting (2012). Interactive displays quarterly insight. Hayward, CA, USA.: State of the market report, Quarter 2, Futuresource Consulting.

    Gabus, A., & Fontela, E. (1972). World problems, an invitation to further thought within the framework of DEMATEL. Geneva, Switzerland.: Battelle Geneva Research Center.

    Gu, P., Xue, D., & Nee, A. (2009). Adaptable design: concepts, methods, and applications. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 223(11), 1367-1387.

    Hadadi, A., Abbasi, H., & Goodarzi, A. (2014). Developing competencies for using the interactive whiteboard to implement communicative language teaching in the english (foreign language) classroom. Procedia-Social and
    Behavioral Sciences, 98, 618-620.

    Hartman, A. (1981). Reaching consensus using the Delphi technique. Educational Leadership, 38(6), 495-497.

    Hauser, J. R., & Clausing, D. (1988). The house of quality. Sloan Management Review, 34(3), 61-70.

    Hennessy, S., & London, L. (2013). Learning from international experiences with interactive whiteboards: The role of professional development in integrating the technology. Paris, France.: OECD Education Working Papers.

    Heusinkveld, S., Benders, J., & van den Berg, R.-J. (2009). From market sensing to new concept development in consultancies: The role of information processing and organizational capabilities. Technovation, 29(8), 509-516.

    Hori, S., & Shimizu, Y. (1999). Designing methods of human interface for supervisory control systems. Control engineering practice, 7(11), 1413-1419.

    Huang, C.-Y., Hsu, P.-C., & Tzeng, G.-H. (2012). Evaluating cloud computing based telecommunications service quality enhancement by using a new hybrid MCDM model. Intelligent Decision Technologies, 1, 519-536.

    Huang, C.-Y., & Kao, Y.-S. (2015). UTAUT2 based predictions of factors influencing the technology acceptance of phablets by DNP. Mathematical Problems in Engineering, 2015, 1-23.

    Huang, C.-Y., Shyu, J. Z., & Tzeng, G.-H. (2007). Reconfiguring the innovation policy portfolios for Taiwan's SIP Mall industry. Technovation, 27(12), 744-765.

    Im, S., & Workman Jr, J. P. (2004). Market orientation, creativity, and new product performance in high-technology firms. Journal of marketing, 68(2), 114-132.

    Iqbal, Z., Grigg, N. P., Govindaraju, K., & Campbell-Allen, N. M. (2015). Enhancing prioritisation of technical attributes in quality function deployment. International Journal of Productivity and Performance Management, 64(3), 398-415.

    Johnson, K., & Khan, M. K. (2003). A study into the use of the process failure mode and effects analysis (PFMEA) in the automotive industry in the UK. Journal of Materials Processing Technology, 139(1), 348-356.

    Jugulum, R., & Sefik, M. (1998). Building a robust manufacturing strategy. Computers & industrial engineering, 35(1), 225-228.

    Kohli, A. K., & Jaworski, B. J. (1990). Market orientation: the construct, research propositions, and managerial implications. The Journal of Marketing, 1990, 1-18.

    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.

    Landeta, J. (2006). Current validity of the Delphi method in social sciences. Technological forecasting and social change, 73(5), 467-482.

    Liang, J.-C., Lee, Y.-L., & Liu, S.-F. (2009). Strategy Kansei Design for a Nice Doorplate Based on GRA. Journal of Grey System, 12(4), 177-183.

    Maddox, M. E. (2005). Error apparent: behavioral tools get an unorthodox application in business risk analysis. Industrial engineer, 37(5), 40-45.

    Martinez, M., & Xue, D. (2016). Development of adaptable products based on modular design and optimization methods. Procedia CIRP, 50, 70-75.

    Mazur, G. H. (1996). The application of quality function deployment (QFD) to design a course in total quality management (TQM) at the University of Michigan College of Engineering. Yokohama, Japan,: Paper presented at the Proceedings of International Conference on Quality-1996.

    Meijering, J. V., & Tobi, H. (2016). The effect of controlled opinion feedback on Delphi features: Mixed messages from a real-world Delphi experiment. Technological forecasting and social change, 103, 166-173.

    Moubachir, Y., & Bouami, D. (2015). A new approach for the transition between QFD phases. Procedia CIRP, 26, 82-86.

    Murry Jr, J. W., & Hammons, J. O. (1995). Delphi: A versatile methodology for conducting qualitative research. The Review of Higher Education, 18(4), 423-436.

    Nixon, J. M., Freeman, R. S., & Ward, S. M. (2010). Patron-driven acquisitions: An introduction and literature review. Collection Management, 35(3-4), 119-124.

    Opricovic, S. (1998). Multicriteria optimization of civil engineering systems. Faculty of Civil Engineering, Belgrade, 2(1), 5-21.

    Opricovic, S., & Tzeng, G.-H. (2007). Extended VIKOR method in comparison with outranking methods. European journal of operational research, 178(2), 514-529.

    Opricovic, S., & Tzeng, G. H. (2002). Multicriteria planning of postearthquake sustainable reconstruction. Computer Aided Civil and Infrastructure Engineering, 17(3), 211-220.

    Ou Yang, Y.-P., Shieh, H.-M., Leu, J.-D., & Tzeng, G.-H. (2008). A novel hybrid MCDM model combined with DEMATEL and ANP with applications. International journal of operations research, 5(3), 160-168.

    Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1988). Servqual: A multiple-item scale for measuring consumer perc. Journal of retailing, 64(1), 12.

    Plaza, I., Ubé, M., Medrano, C., & Blesa, A. (2003). Application of the philosophy of quality in the digital electronic matter. Valencia, Spain.: Paper presented at the Proc. Int. Conf. Engineering Education.

    Pugh, S. (1991). Total design: integrated methods for successful product engineering. Quality and Reliability Engineering Internation, 7(2), 119.

    Qi, J., Hu, J., Peng, Y., Wang, W., & Zhan, Z. (2011). AGFSM: An new FSM based on adapted Gaussian membership in case retrieval model for customer-driven design. Expert Systems with Applications, 38(1), 894-905.

    Racela, O. C. (2014). Customer orientation, innovation competencies, and firm performance: A proposed conceptual model. Procedia-Social and Behavioral Sciences, 148, 16-23.

    Rakesh, R., Jos, B. C., & Mathew, G. (2013). FMEA analysis for reducing breakdowns of a sub system in the life care product manufacturing industry. International Journal of Engineering Science and Innovative Technology, 2(2), 218-225.

    Saaty, T. L. (1996). Decision making with dependence and feedback: The analytic network process. Pittsburgh. PA: RWS Publications. Samvedi, A., Jain, V., & Chan, FTS (2012). An integrated approach for machine tool
    selection using fuzzy analytical hierarchy process and grey relational analysis. International Journal of Production Research, 50(12), 129-157.

    Smith, H. J., Higgins, S., Wall, K., & Miller, J. (2005). Interactive whiteboards: boon or bandwagon? A critical review of the literature. Journal of Computer Assisted Learning, 21(2), 91-101.

    Song, W., & Sakao, T. (2017). A customization-oriented framework for design of sustainable product/service system. Journal of Cleaner Production, 140, 1672-1685.

    Spanjol, J., Qualls, W. J., & Rosa, J. A. (2011). How many and what kind? The role of strategic orientation in new product ideation. Journal of Product Innovation Management, 28(2), 236-250.

    Starkman, N. (2006). The wonders of interactive whiteboards: No cutting-edge classroom is complete without one. THE Journal (Technological Horizons In Education), 33(10), 36.

    Šumak, B., & Šorgo, A. (2016). The acceptance and use of interactive whiteboards among teachers: Differences in UTAUT determinants between pre-and post-adopters. Computers in Human Behavior, 64, 602-620.

    Tama, I. P., Azlia, W., & Hardiningtyas, D. (2015). Development of customer oriented product design using Kansei engineering and Kano model: Case study of ceramic souvenir. Procedia Manufacturing, 4, 328-335.

    Tamura, M., Nagata, H., & Akazawa, K. (2002). Extraction and systems analysis of factors that prevent safety and security by structural models. Osaka, Japan.: Paper presented at the SICE 2002. Proceedings of the 41st
    SICE Annual Conference.

    Tang, Y., Mak, K., & Zhao, Y. F. (2016). A framework to reduce product environmental impact through design optimization for additive manufacturing. Journal of Cleaner Production, 137, 1560-1572.

    Temponi, C., Yen, J., & Tiao, W. A. (1999). House of quality: A fuzzy logic-based requirements analysis. European journal of operational research, 117(2), 340-354.

    Tertemiz, N. I., Sahin, D., Can, B., & Duzgun, S. (2015). Views of primary school teachers and students about the interactive whiteboard. Procedia-Social and Behavioral Sciences, 186, 1289-1297.

    Tonni, I., & Oliver, R. (2013). AD elphi approach to define learning outcomes and assessment. European Journal of Dental Education, 17(1), 173-180.

    Trammell, S. R., Lorenzo, D. K., & Davis, B. J. (2004). Integrated hazards analysis. Professional Safety, 49(5), 29.

    Trueswell, R. L. (1969). Some behavioral patterns of library users: The 80/20 rule. Wilson Libr Bull, 43(5), 458-461.

    Tseng, M.-L. (2009a). A causal and effect decision making model of service quality expectation using grey-fuzzy DEMATEL approach. Expert Systems with Applications, 36(4), 7738-7748.

    Tseng, M.-L. (2009b). Using the extension of DEMATEL to integrate hotel service quality perceptions into a cause–effect model in uncertainty. Expert Systems with Applications, 36(5), 9015-9023.

    Tzeng, G.-H., & Huang, C.-Y. (2012). Combined DEMATEL technique with hybrid MCDM methods for creating the aspired intelligent global manufacturing & logistics systems. Annals of Operations Research, 197(1), 159-190.

    Tzeng, G.-H., & Huang, J.-J. (2011). Multiple attribute decision making: methods and applications. New York, USA.: CRC press.

    Urban, G. L., & Hauser, J. R. (1980). Design and marketing of new products. London, UK: Prentice hall.

    Vainoryte, B., & Zygaitiene, B. (2015). Peculiarities of Interactive Whiteboard Application during Lessons in Lithuanian General Education Schools. Procedia-Social and Behavioral Sciences, 197, 1672-1678.

    Vidhyalakshmi, R., & Kumar, V. (2017). CORE framework for evaluating the reliability of SaaS products. Future Generation Computer Systems, 72, 23-36.

    Villarini, M., Cesarotti, V., Alfonsi, L., & Introna, V. (2017). Optimization of photovoltaic maintenance plan by means of a FMEA approach based on real data. Energy Conversion and Management, 152, 1-12.

    Wang, G., & Miao, C. F. (2015). Effects of sales force market orientation on creativity, innovation implementation, and sales performance. Journal of
    Business Research, 68(11), 2374-2382.

    Wang, H., Chen, G., Lin, Z., & Wang, H. (2005). Algorithm of integrating QFD and TRIZ for the innovative design process. International Journal of Computer Applications in Technology, 23(1), 41-52.

    Wang, Q., Zhao, X., & Voss, C. (2016). Customer orientation and innovation: A comparative study of manufacturing and service firms. International Journal of Production Economics, 171, 221-230.

    Xu, Y., Chen, G., & Zheng, J. (2016). An integrated solution—KAGFM for mass customization in customer-oriented product design under cloud manufacturing environment. The International Journal of Advanced Manufacturing Technology, 84(1-4), 85-101.

    Xue, D., Hua, G., Mehrad, V., & Gu, P. (2012). Optimal adaptable design for creating the changeable product based on changeable requirements considering the whole product life-cycle. Journal of Manufacturing Systems, 31(1), 59-68.

    Xue, L., Le Bot, G., Van Petegem, W., & van Wieringen, A. (2018). Defining interdisciplinary competencies for audiological rehabilitation: findings from a modified Delphi study. International journal of audiology, 57(2),
    81-90.

    Yang, C.-L., Huang, C.-Y., Kao, Y.-S., & Tasi, Y.-L. (2017). Disaster Recovery Site Evaluations and Selections for Information Systems of Academic Big Data. Eurasia Journal of Mathematics, Science and Technology Education,
    13(8), 4553-4589.

    Yu, P.-L. (1973). A class of solutions for group decision problems. Management science, 19(8), 936-946.

    Yu, X., Nguyen, B., & Chen, Y. (2016). Internet of things capability and alliance: entrepreneurial orientation, market orientation and product and process innovation. Internet Research, 26(2), 402-434.

    Zehir, C., Köle, M., & Yıldız, H. (2015). The mediating role of innovation capability on market orientation and export performance: An implementation on SMEs in Turkey. Procedia-Social and Behavioral Sciences, 207, 700-708.

    Zeleny, M. (1982). Multiple criteria problem solving. New York, USA.: McGraw-Hill.

    Zhuang, X., Pan, R., & Du, X. (2015). Enhancing product robustness in reliability-based design optimization. Reliability Engineering & System Safety, 138, 145-153.

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