Integrating Kansei engineering with conjoint analysis to fulfil market segmentation and product customisation for digital cameras

References

• Agard, B., and A. Kusiak. 2004. “Data-mining Based Methodology for the Design of Product Families.” International Journal of Production Research 42 (15): 2955–2969.10.1080/00207540410001691929
   Web of Science ®Google Scholar
• Alisantoso, D., and L. P. Khoo. 2009. “Early Analysis of Design Concepts Using Rough Set Theory.” International Journal of Systems Science 40 (2): 121–130.10.1080/00207720802630610
   Web of Science ®Google Scholar
• Ayağ, Z. 2005. “An Integrated Approach to Evaluating Conceptual Design Alternatives in a New Product Development Environment.” International Journal of Production Research 43 (4): 687–713.
   Web of Science ®Google Scholar
• Bae, J. W., and J. Kim. 2011. “Product Development with Data Mining Techniques: A Case on Design of Digital Camera.” Expert Systems with Applications 38 (8): 9274–9280.10.1016/j.eswa.2011.01.030
   Web of Science ®Google Scholar
• Chan, K. Y., C. K. Kwong, and B. Q. Hu. 2012. “Market Segmentation and Ideal Point Identification for New Product Design Using Fuzzy Data Compression and Fuzzy Clustering Methods.” Applied Soft Computing 12: 1371–1378.10.1016/j.asoc.2011.11.026
   Web of Science ®Google Scholar
• Chen, C. C., and M. C. Chuang. 2008. “Integrating the Kano Model into a Robust Design Approach to Enhance Customer Satisfaction with Product Design.” International Journal of Production Economics 114 (2): 667–681.10.1016/j.ijpe.2008.02.015
   Web of Science ®Google Scholar
• Deng, J. 1982. “Control Problems of Grey Systems.” System and Control Letters 1 (5): 288–294.
   Web of Science ®Google Scholar
• Fogliatto, F. S., J. C. Giovani, and D. Siverira. 2008. “Mass Customization: A Method for Market Segmentation and Choice Menu Design.” International Journal of Production Economics 111 (2): 606–622.10.1016/j.ijpe.2007.02.034
   Web of Science ®Google Scholar
• Jiao, J., and Y. Zhang. 2005. “Product Portfolio Planning with Customer-engineering Interaction.” IIE Transactions 37: 801–814.10.1080/07408170590917011
   Web of Science ®Google Scholar
• Jiao, J., Y. Zhang, and M. Helander. 2006. “A Kansei Mining System for Affective Design.” Expert Systems with Applications 30 (4): 658–673.10.1016/j.eswa.2005.07.020
   Web of Science ®Google Scholar
• Kotler, P., and K. Keller. 2012. Framework for Marketing Management. 10th ed. New York: Prentice Hall.
   Google Scholar
• Kumar, D., W. Chen, and T. W. Simpson. 2009. “A Market-driven Approach to Product Family Design.” International Journal of Production Research 47 (1): 71–104.10.1080/00207540701393171
   Web of Science ®Google Scholar
• Kwong, C. K., Y. Chen, and K. Y. Chan. 2011. “A Methodology of Integrating Marketing with Engineering for Defining Design Specifications of New Products.” Journal of Engineering Design 22 (3): 201–213.10.1080/09544820903173180
   Web of Science ®Google Scholar
• Luce, R. D., and J. W. Tukey. 1964. “Simultaneous Conjoint Measurement. A New Type of Fundamental Measurement.” Journal of Mathematical Psychology 1: 1–27.10.1016/0022-2496(64)90015-X
   Web of Science ®Google Scholar
• Nagamachi, M. 1995. “Kansei Engineering: A New Ergonomic Consumer-oriented Technology for Product Development.” International Journal of Industrial Ergonomics 15 (1): 311–346.
   Web of Science ®Google Scholar
• Pawlak, Z., and A. Skowron. 2007. “Rough Sets and Boolean Reasoning.” Information Sciences 177 (1): 41–73.10.1016/j.ins.2006.06.007
   Web of Science ®Google Scholar
• Sabin, D., and R. Weigel. 1998. “Product Configuration Frameworks – A Survey.” IEEE Intelligent Systems 13 (4): 42–49.10.1109/5254.708432
   Web of Science ®Google Scholar
• Shi, F., S. Sun, and J. Xu. 2012. “Employing Rough Sets and Association Rule Mining in KANSEI Knowledge Extraction.” Information Sciences 196: 118–128.10.1016/j.ins.2012.02.006
   Web of Science ®Google Scholar
• Song, Z., and A. Kusiak. 2009. “Optimising Product Configurations with a Data-mining Approach.” International Journal of Production Research 47 (7): 1733–1751.10.1080/00207540701644235
   Web of Science ®Google Scholar
• Ulrich, K., and S. Eppinger. 2008. Product and Development. 6th ed. New York: McGraw-Hill.
   Google Scholar
• Wang, C. H., and J. N. Chen. 2012. “Using Quality Function Deployment for Collaborative Product Design and Optimal Selection of Module Mix.” Computers & Industrial Engineering 63 (4): 1030–1037.
   Web of Science ®Google Scholar
• Wang, C. H., and C. W. Shih. 2013. “Integrating Conjoint Analysis with Quality Function Deployment to Carry out Customer-driven Concept Development for Ultrabooks.” Computer Standards & Interfaces 36 (1): 89–96.
   Web of Science ®Google Scholar
• Wang, C. H., and J. Wang. 2014. “Combining Fuzzy AHP and Fuzzy Kano to Optimize Product Varieties for Smart Cameras: A Zero-one Integer Programming Perspective.” Applied Soft Computing 22: 410–416.10.1016/j.asoc.2014.04.013
   Web of Science ®Google Scholar
• Wang, C. H., and C. W. Wu. 2014. “Combining Conjoint Analysis with Kano Model to Optimize Product Varieties of Smart Phones.” Journal of Industrial and Production Engineering 31 (4): 177–186.
   Google Scholar
• Yang, C. C. 2011. “Constructing a Hybrid Kansei Engineering System Based on Multiple Affective Responses: Application to Product Form Design.” Computers & Industrial Engineering 60 (4): 760–768.
   Web of Science ®Google Scholar
• Yang, C. C., and M. D. Shieh. 2010. “A Support Vector Regression Based Prediction Model of Affective Responses for Product Form Design.” Computers & Industrial Engineering 59 (4): 682–689.
   Web of Science ®Google Scholar
• Zhai, L. Y., L. P. Khoo, and Z. W. Zhong. 2009a. “A Dominance-based Rough Set Approach to Kansei Engineering in Product Development.” Expert Systems with Applications 36 (1): 393–402.10.1016/j.eswa.2007.09.041
   Web of Science ®Google Scholar
• Zhai, L. Y., L. P. Khoo, and Z. W. Zhong. 2009b. “A Rough Set Based Decision Support Approach to Improving Consumer Affective Satisfaction in Product Design.” International Journal of Industrial Ergonomics 39 (2): 295–302.10.1016/j.ergon.2008.11.003
   Web of Science ®Google Scholar
• Zhu, B., Z. Wang, H. Yang, R. Mo, and Y. Zhao. 2008. “Applying Fuzzy Multiple Attributes Decision Making for Product Configuration.” Journal of Intelligent Manufacturing 19 (5): 591–598.10.1007/s10845-008-0132-2
   Web of Science ®Google Scholar