| 研究生: |
盛氏鳳 Thi-Phuong Thinh |
|---|---|
| 論文名稱: |
發展一混合式模糊集品質機能展開法以評選市場區隔 A Hybrid Fuzzy QFD Approach for Market Segments Evaluation and Selection |
| 指導教授: |
高信培
Hsing-Pei Kao |
| 口試委員: | |
| 學位類別: |
碩士 Master |
| 系所名稱: |
管理學院 - 工業管理研究所 Graduate Institute of Industrial Management |
| 畢業學年度: | 100 |
| 語文別: | 英文 |
| 論文頁數: | 88 |
| 中文關鍵詞: | 模糊品質基能展開 、市場區隔 、市場區隔化 |
| 外文關鍵詞: | fuzzy Quality Function Deployment, Market Segment, Market Segmentation |
| 相關次數: | 點閱:23 下載:0 |
| 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 |
在今日的全球商業環境中,對所有企業而言,市場區隔的選擇是關鍵性的市場行
銷活動。為了評估與選擇適當的市場,決策過程往往涉及多位決策者以及多重評估標
準。本研究發展一混合式模糊集品質功能展開法(QFD),該分析法以模糊集為基礎分
析法,整合QFD 、AHP 以及TOPSIS 以評估與選擇適當的市場。
建議的分析法中,利用模糊 QFD 確定內部特性的權重(WHATs)、評估市場區
隔的外部條件 (HOWs) 、以及“HOWs”與“WHATs”之間的相關性程度。而模糊AHP 應
用於評估標準的排序。依據值化的各項評估標準,以語言值評估市場區隔的選項,並
以三角模糊數表示。然後,以模糊TOPSIS 獲取市場區隔選項的最終排序。最後,以
汽車租賃公司評選市場區隔為實證以說明所建議的分析法。
In today’s global business environment, market segments selection are critical
marketing activities of all companies. In order to evaluate and select the appropriate market
segments, several decision makers and criteria are needed to be involved in the decision
process. This study proposes a hybrid fuzzy Quality Function Deployment (QFD) which is a
combination of fuzzy QFD, fuzzy Analytic Hierarchy Process (AHP), and fuzzy technique
for order preference by similarity to ideal solution (TOPSIS) to select the suitable market
segment.
In the proposed approach, fuzzy QFD is used in determining the importance of weights
for the internal characteristics (WHATs), external criteria relevant to market segments
assessment (HOWs), and the “HOW”-“WHAT” correlation scores, while fuzzy AHP is
applied to obtain more decisive judgments by prioritizing the market segments selection
criteria and weighting them in the presence of vagueness. The ratings of alternatives versus
qualitative criteria are assessed in linguistic values represented by triangular fuzzy numbers.
Then, fuzzy TOPSIS was used to obtain the final ranking of alternative. Finally, an empirical
study on rental-car Company is put forward to illustrate the performance of the proposed
methodology which the final solution is obtained by identifying the best market segment for
further development and negotiation.
Aghdaie, M. H, & Behzadian, M. (2010). A hybrid Fuzzy MCDM Approach to Thesis Subject
Selection. The Journal of Mathematics and Computer Science , 1 (4), 355-365.
Aghdaie, M. H. , Rezaeinia, N., Zolfani, S. H, & Javad, M. T. (2011). A Hybrid Fuzzy MCDM
Approach for Market Segments Evaluation and Selection. International Conference on (pp.
1-4). Wuhan : Management and Service Science (MASS).
Akao, Y. (1990). Quality Function Deployment: Integrating Customer Requirements into
Product Design. Productivity Press.
Akman, G., & Ozcan, B. (2011). A Fuzzy Quaylity Function Deployment (QFD) Approach to
Determine Customer Needs for Driving Mirror. İstanbul Ticaret Universitesi Fen Bilimleri
Dergisi , 1-21.
Amin, S. H., & Razmi, J. (2009). An integrated fuzzy model for supplier management- A case
study of ISP selection and evaluation. Expert Systems with Applications , 8639–8648.
Bevilacqua, M., Ciarapica, F. E., & Giacchetta, G. . (2006). A fuzzy-QFD approach to supplier
selection. Journal of Purchasing & Supply Management , 14–27.
Bottani, E. (June 2009). A fuzzy QFD approach to achieve agility. International Journal of
Production Economics , 119 (2), 380-391.
Bottani, E., & Rizzi, A. (2006). Strategic management of logistics service:A fuzzy QFD
approach. Int. J. Production Economics , 103, 585–599.
Brown, P. G. (1991). QFD: echoing the voice of the customer. AT&T Technical Journal , 18–32.
Buyukozkan, G., Feyzioglu, O., & Ruan, D. (2007). Fuzzy group decision-making to multiple
preference formats in quality function deployment. Computers in Industry , 58, 392–402.
Capon, N., & Palij, P. (1994). Strategic Marketing forecasting, market segment selection and
firm performance. International Joural of Forecasting , 10, 339-352.
Celik, M., Cebi, S. , Kahraman, C., & Er, I. D. (2009). An İntegrated Fuzzy QFD Model
Proposal On Routing of Shipping İnvestment Decisions in Crude Oil Tanker Market”, Expert
Systems with Applications 36 6227–6235. Expert Systems with Applications , 36, 6227–6235.
Chan, K. Y., Kwong, C. K., & Hu, B. Q. (2012). Market segmentation and ideal point
identification for new product design using fuzzy data compression and fuzzy clustering
methods. Journal of Applied Soft Computing , 12 (4), 1371–1378.
Chang, D. Y. (1996). Applications of the extent analysis method on fuzzy AHP. European
Journal of Operational Research , 95 (3), 649–655.
Chen, C. T. (2000). Extension of the TOPSIS for group decision making under fuzzy
environment. Fuzzy Sets and System , 114, 1-9.
Chen, L. H., & Weng, M. C. (2006). An evaluation approach to engineering design in QFD
processes using fuzzy goal programming models. European Journal of Operational
Research , 172, 230–248.
Chen, L. H., and Ko, W. C. (2009). Fuzzy linear programming models for new product design
using QFD with FMEA. Applied Mathematical Modelling , 33, 633–647.
Chen, S. J., & Hwang, C. L. (1992). Fuzzy Multiple Attribute Decision Making Method and
Applications. New York, USA: Springer-Verlag.
Chiou, H. K., Tzeng, G. H., & Cheng, D. C. (2005). Evaluating sustainable fishing development
strategies using fuzzy MCDM approach. Omega,. Journal of Omega Engineering , 33, 223–
234.
Chiu, C, Y. , Chen, Y. F, Kuo I. T., & Ku, H. C. (2009). An intelligent market segmentation
system using k-means and particle swarm optimization. Expert Systems with Applications ,
4558–4565.
Dibb, S. (1998). Market_segmentation: Strategies for success. Marketing Intelligence &
Planning , 394–406.
Dibb, S., & Simkin, L. (1997). A program for implementing market segmentation. Journal of
Business & Industrial Marketing , 12 (1), 51-65.
Dibb, S., & Simkin, L. (1994). Implementation Problems in Industrial Market Segmentation.
Industrial Marketing Management , 55–64.
Ding, J. F. (July 2009). Applying fuzzy quality function deployment (QFD) to identify solutions
of service delivery system for port of Kaohsiung. Quality & Quantity , 43 (4), 553-570.
Dolnicar, S., & Matus, K. . (2008). Are Green Tourists a managerially useful target segment?
Journal of Hospitality and Leisure Marketing , Vol. 17 (No. 3), 314-334.
Dubois, D., & Prade, H. (1978). Operations on fuzzy numbers. International Joural of System
Science , 9 (1), 613–626.
Erol, I., & Ferrell, W. G. (2004). A methodology to support decision making across the supply
chain of an industrial distributor. International Journal of Production Economics , 89 (2),
119-129.
Erol, I., & Ferrell, W. Jr. (2003). A methodology for selection problems with multiple,
conflicting objectives and both qualitative and quantitative criteria. Int. J. Prod. Econ. , 86,
187-199.
Facchinetti, G., Ricc, R. G., & Muzzioli, S. (1998). Note on ranking fuzzy triangular numbers.
International Journal of Intelligent Systems , 13 (7), 613–622.
Fariborz, Y. P., & Rafael, A. C. (2002). European Journal of Operational Research. Quality
function deployment for the good of soccer (137), 642–656.
Felice, F. D., & Petrillo, A. (2010). A multiple choice decision analysis- an integrated QFD –
AHP model for the assessment of customer needs. International Journal of Engineering,
Science and Technology , 2 (9), 25-38.
Ferrel, O. C., & Hartline, M. D. (2008). Marketing Strategy. South-Western: Thomson.
Freytag, P. V., & Clarke, A. H. (2001). Business to business market segmentation. Industrial
Marketing Management , 473–486.
Fung, R. K., Chen, Y., & Tang, J. (2006). Estimating The Functional Relationships for Quality
Function Deployment Under Uncertainties. Fuzzy Sets and Systems , 157, 98–120.
Fung, R. Y. K., Popplewell, K., & Xie, J. (1998). An intelligent hybrid system for customer
requirements analysis and product attribute targets determination. International Journal of
Production Research , 36 (1), 13–34.
Gunasekaran, N., Rathesh, S., Arunachalam, S., & Koh, S. C. L. (2006). Optimizing supply
chain management using fuzzy approach. Journal of Manufacturing Technology
Management , 17 (6), 737-749.
Hammermesh, R. G., Anderson, M. J. and Harris, J. E. (1978). Strategies for Low Market Share
Businesses. Harvard Business Review , 56.
Hanafizadeh, P., & Mirzazadeh, M. (2011). Visualizing market segmentation using selforganizing
maps and Fuzzy Delphi method - ADSL market of a telecommunication company.
Expert Systems with Applications , 38 (1), 198-205.
Hansen, F. (1972). Backward segmentation using hierarchical clustering and Q-factor analysis.
ESOMAR Seminar.
Hassan, K.Z., Zarei, M., Sadeghieh, A., & Owlia, M. S. (December 2010). Ranking the strategic
actions of Iran mobile cellular telecommunication using two models of fuzzy QFD.
Telecommunications Policy , 34 (11), 747–759.
Hauser, J. R., & Clausing, D. . (1988). The house of quality. Harvard Business Review , 63–73.
Hlavacek, J. D. (1986). Identifying and Qualifying Industrial Market Segments. European
Journal of Marketing , 9–21.
Hwang, C. L., & Yoon, K. (1981). Multiple attribute decision making, methods and applications.
NewYork: Springer.
Jia, G. Z., & Bai, M. (2011). An approach for manufacturing strategy development based on
fuzzy-QFD. Computers & Industrial Engineering , 445–454.
Jones, S. C., Rees, L., Hall, D., & Tang, A. (2005). Using market segmentation theory to select
target markets for sun protection campaigns. ANZMAC Conference, University of Western
Australia, (pp. 144-149).
Kahraman, C., Cebeci, U., & Ruan, D. (2004). Multi-attribute comparison of catering service
companies using fuzzy AHP: The case of Turkey. International Journal of Production
Economics , 87, 171–184.
Kahraman, C., Ertay, T., & Buyukozkan, G. (June 2006). A fuzzy optimization model for QFD
planning process using analytic network approach. European Journal of Operational
Research , 171 (2), 390-411.
Kahraman, C., Ruan, D., & Dog an, I. (2003). Fuzzy group decision making for facility location
selection. Information Sciences , 157, 135–153.
Karsak, E. E. (2004). Fuzzy multiple objective programming framework to prioritize design
requirements in quality function deployment. Computers & Industrial Engineering , 47, 149–
163.
Karsak, E., & Ozogul, C. O. (2009). An Integrated Decision Making Approach for ERP System
Selection. Expert Systems with Applications , 36, 660–667.
Kaufmann, A., & Gupta, M. M. (1991). Introduction to fuzzy arithmetic-theory and application.
New York: Van Nostrand Reinhold.
Khoo, L. P., & Ho, N. C. (1996). Framework of a fuzzy quality function deployment system.
International Journal of Production Research , 34 (2), 299–311.
Kotler, P. (1991). Marketing Management (6th ed.). New Jersey: Prentice-Hall.
Kotler, P., & Armstrong, G. (2007). Principles of Marketing (12rd ed.). New Jersey: Prentice-
Hal.
Kuo, T. C., Wu, H. H., & Shieh, J. I. (2009). Integration Of Environmental Considerations in
Quality Function Deployment by Using Fuzzy Logic. Expert Systems with Applications , 36,
7148–7156.
Lai, X., Xie, M., Tan, K. C., & Yang, B. (2008). Ranking of customer requirements in a
competitive environment. Computers & Industrial Engineering , 54, 202–214.
Lee, A. H. I., Kang, H. Y., & Chang, C. T. (2009). Fuzzy multiple goal programming applied to
TFT-LCD supplier selection by downstream manufactures. Expert Systems with Applications ,
36, 6318–6325.
Lee, G., Morrison, A. M., & O’Leary, J.T. (2006). The economic value portfolio matrix: A
target market selection tool for destination marketing organizations. Tourism Management ,
27 (4), 576-588.
Lee, Y. C., Sheu, L. C., & Tsoui, Y. G. (2008). Quality function deployment implementation
based on Fuzzy Kano model: An application in PLM system. Computers & Industrial
Engineering , 55, 48–63.
Li, S., & Yang, S. L. (2009). The evaluation of software trustworthiness with FAHP and
FTOPSIS methods. Computational Intelligence and Software Engineering, (pp. 1-5). Wuhan,
China.
Liang, G. S., Chou, T. Y., & Kan, S. F. (June 2006). Applying fuzzy quality function
deployment to identify service management requirements for an ocean freight forwarder.
Total Quality Management , 17 (5), 539–554.
Lin, L. Z., Chen, W. C., & Chang, T. J. (2011). Using FQFD to analyze island accommodation
management in fuzzy linguistic preferences. Expert Systems with Applications , 38, 7738–
7745.
McDonald, M., & Dunbar, I. (2004). Market Segmentation: How to do it, How to profit from it.
Elsevier Butterworth-Heinemann.
Mehrjerdi, Y. Z. (2010). Applications and extensions of quality function deployment. Journal of
Assembly Automation , 30 (4), 388–403.
Mitzi, M. W., & Roger, J. C. (1999). Development and Implementation of a Segment Selection
Procedure for Industrial Product Markets. Marketing Science , 18 (3), 373-395.
Myint, S. (2003). A framework of an intelligent quality function deployment (IQFD) for discrete
assembly environment. Computers and Industrial Engineering , 45 (2), 269-283.
Nagahanumaiah, K. S., & Ravi, B. (2008). Computer Aided Rapid Tooling Process Selection
and Manufacturability Evaluation for Injection Mold Development. Computers in Industry ,
59 (3), 262-276.
Nkurunziza, A., Zuidgeest, M., Maarseveen, M. V. (2012). Identifying potential cycling market
segments in Dar-es-Salaam, Tanzania. Habitat International , 36 (1), 78-84.
Ou, C. W, Chou, S. Y., & Chang, Y. H. (2009). Using a strategy-aligned fuzzy competitive
analysis approach for market segment evaluation and selection. Expert Systems with
Applications , 527–541.
Per Vagn Freytag and Ann Hojbjerg Clarke. (2001). Business to business market segmentation.
Industrial Marketing Management , 473–486.
Raaij, W. F. V., & Verhallen, T. M. M. (1994). Domain specific Market. European Journal of
Marketing , 28 (10), 49-66.
Rahman, Z., & Qureshi, M. N. (2008). Developing new services using fuzzy QFD: a LIFENET
case study. International Journal of Health Care Quality Assurance , 21 (7), 638 - 658.
Raut, R. D., Verma, R., Bhasin, H. V., & Koul, S. (2010). A Multi-criteria Decision Making
Approach for supplier selection. International Journal of Management , 4 (1), 57-71.
Robinson, J. (1938). The Economics of Imperfect Competition. London: McMillan.
Saaty, T. L. (1980). The analytic hierarchy process. New York: McGraw-Hill.
Sarabia, F. J. (1996). Model for market segments evaluation and selection. European Journal of
Marketing , 30 (4), 58-74.
Schmidt, R. (1997). The implementation of simultaneous engineering in the stage of product
concept development: a process orientated improvement of quality function deployment.
European Journal of Operational Research , 293–314.
Shapiro, B. P., & Bonoma, T. V. . (1984). How to Segment Industrial Markets. Harvard
Business Review , 104–110.
Shen, X. X., Tan, K. C., & Xie, M. (2001). The implementation of quality function deployment
based on linguistic data. Journal of Intelligent Manufacturing , 12, 65–75.
Taha, Z., & Rostam, S. (2011). A hybrid fuzzy AHP-PROMETHEE decision support system for
machine tool selection in flexible manufacturing cell. Journal of Intell Manufacturing .
Teng, J. Y., & Tzeng, G. H. (1996). Fuzzy multi-criteria ranking of urban transportation
investment alternatives. Transportation Planning and Technology , 20, 15–31.
Thomas, R. J., & Wind, Y. (1982). Toward Empirical Generalization of Industrial Market
Segmentation. Industrial Marketing .
Tsai, C. Y., & Chiu, C. C. (2004). A purchase-based market segmentation methodology. Expert
Systems with Applications , 265-276.
Wang, C. H. (2010). An Integrated Fuzzy Multi-Criteria Decision making approach for
Realizing the Practice of Quality Function Deployment.
Wang, F., Li X. H., Rui, W. N. & Zhang, Y. (2007). A fuzzy QFD-based method for
customizing positioning of logistics Service products of 3PLS. Wireless Communication,
Networking and Mobile Computing, (pp. 3331-3334). Shanghai.
Wang, J. (1999). Fuzzy outranking approach to prioritize design requirements in quality function
deployment. International Journal of Production Research , 37 (4), 899–916.
Wang, T. C., & Chang, T. H. (2007). Application of TOPSIS in evaluating initial training
aircraft under a fuzzy environment. Expert Systems with Applications , 33 (4), 870–880.
Wind, Y. (1978). Issue and advances in segmentation research. Journal of Marketing Research ,
15, 317-337.
Wind, Y., & Thomas, R. J. (1994). Segmenting Industrial Markets. Business Marketing and
Purchasing , 6, 59-82.
Wind, Y., & Cardoza, R. (1974). Industrial Market Segmentation. Industrial Marketing
Management , 3, 153-166.
Xia, J., Evans, F. H. , Spilsbury, K., & Ciesielski, V. (210). Market segments based on the
dominant movement patterns of tourists. Tourism Management , 31, 464-469.
Yong, D. (2006). Plant location selection based on fuzzy TOPSIS. The International Journal of
Advanced Manufacturing Technology , 28 (7-8), 839-844.
Yu, L., Gang, G., & Cheng, D. J. (2004). An integrated approach for market segmentation and
visualization based on consumers preference. Procceding of the 3th International Conference
on Machine Learning and Cybernetics, Vol. 3, pp. 1701-1710. Shanghai, China.
Zadeh, L. A. (1965). Fuzzy sets. Information Control , 8, 338-353.
Zahedi, M. R. , Yousefi, S., & Cheshmberah, M. (2011). A Fuzzy Quality Function Deployment
Approach to Enterprise Resource Planning Software Selection. Asian Journal of Scientific
Research , 114-128.
Zhang, Z., & Chu, X. (2009). Fuzzy group decision-making for multi-format and multigranularity
linguistic judgments in quality function deployment. Expert Systems with
Applications , 36, 9150–9158.