A Customer-Oriented Decision-Making Procedure for the Design of Electronic Viewfinder Interchangeable Lens Cameras
The changes of living society and progress of electronic technology have made consumer requirements become variable and marketed products much competitive. The trend of product design has also changed to design for mass customization. The design for mass customization is based on different design suits for different customer requirements. To enhance the effectiveness of customized product design, the research develops an efficient way on identifying potential customer preference and requirements at the conceptual stage of product design. The development procedure integrated techniques including morphological analysis and back-propagation neural network so that the system can closely match consumer requirements. An electronic viewfinder interchangeable lens (EVIL) camera is chosen as a case to explore the feasibility of the research. The results will assist the designer to build a customized product form design that can identify product parameters based on particular consumer preference and convert customer requirements into quantifiable data of product form.
KeywordsCustomer-oriented product design Preference analysis Morphological analysis Neural network
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- Joseph TP (1971) The concept and application of life style segmentation. Journal of Marketing, 35(2): 35-41Google Scholar
- Kuo CF, Chu CH (2005) An online ergonomic evaluator for 3D product design. Computers in Industry, 56(5): 479-492Google Scholar
- Chang HJ, Hung LP, Ho CL (2007) An anticipation model of potential customers’ purchasing behaviour based on clustering analysis and association rules analysis. Expert Systems with Applications, 32(3): 753-764Google Scholar
- Solomon MR (2004) Consumer Behaviour: Buying, Having, and Being, 6th edn. Prentice-Hall, New JerseyGoogle Scholar
- Zwicky F (1969) Discovery, Invention, Research through the Morphological Approach, Macmillan, New YorkGoogle Scholar
- Jones JC (1992) Design Methods: Seeds of Human Futures, 2nd edn. Van Nostrand Reinhold, New YorkGoogle Scholar
- Cheng HL, Tseng KC, Chu CH (2010) One step QFD based 3D morphological charts forconcept generation of product variant design. Expert Systems with Applications, 37(11): 753-764Google Scholar
- Hsiao SW, Huang HC (2002) A neural network based approach for product form design. De-sign Studies, 23(1): 67-84Google Scholar
- Hsiao SW, Tsai HC (2005) Applying a hybrid approach based on fuzzy neural network and genetic algorithm to product form design. International Journal of Industrial Ergonomics, 35(5): 411-428Google Scholar
- Hsu SH, Chang W (2007) Effects of form feature structure on similarity identification. Journal of the Chinese Institute of Industrial Engineers, 24(5): 428-436Google Scholar