| Summary: | 碩士 === 樹德科技大學 === 應用設計研究所 === 98 === New product development has gradually become a strategic and decisive means of enterprise sustainability and competitive advantage. However, uncertainty and risks often emerge during the new product development process. Effective market surveys, analyses on existing products, product concepts & design, and design efficiency evaluations are the keys that directly influence future product success in the market while avoiding the risks of new product development. Against the backdrop, taking home dehumidifiers as an example, this study first adopted the fuzzy Delphi method (FDM) to derive knowledge and experiences of experts in the relevant fields and extract factors, which affect consumer demand attributes. Secondly, a conjoint analysis was performed to identify part-worth utilities and weighted values of each product attribute. The Fuzzy Quality Function Deployment (FQFD) was then employed to translate customers’ fuzzy demand into explicit product features, while the attributes of customer demand was categorized via Kano Model and the importance-performance analysis (IPA). The aforesaid results were integrated into the Fuzzy House of Quality (FHOQ), in order to establish an optimal product quality plan. Since black box operations easily occur when the source of concepts is unable to be explicitly identified, a rational, systematic design strategy has been developed and applied to product design and development, and several design schemes have been created. In terms of design scheme efficiency evaluation, the weighted values, the efficiency value, and the scheme ranking were calculated using the analytic network process (ANP) and the data envelopment analysis (DEA) method, in order to improve the mutual effects of the evaluation criteria and take more real factors into consideration. Finally, a comparison in difference and applicability between ANP and DEA was made to pursue an optimal design scheme.
According to the study findings, (1) after the FDM screening and the factor analysis, the 38 design strategic factors established earlier were reduced to seven constructs (technology, practicability & convenience, structural design, operating profit, appearance, market competitiveness, and energy conservation & environmental protection) and 28 criteria, in order to obtain a strategic framework for designing dehumidifiers; these constructs were required quality items, and then reorganized into 21 design features based on the KJ Method and experts’ opinions; (2) the conjoint analysis was performed to identify the weighted values of each customer demand attribute, and the top three of importance was Practicability & Convenience (weighted value of 20.7%), Market Competitiveness (weighted value of 19.3%) and Appearance (weighted value of 15.1%); (3)according to the results of the two-dimension quality attribute categorization and the satisfaction matrix analysis, Technology and Appearance were attraction-oriented demand attributes; in terms of the importance-performance analysis, Technology and Operating Profit were valued most; (4) in the FHOQ matrix, the top three of the customer demand factors were Practicability & Convenience, Appearance and Market Competitiveness, while the top three of the design feature factors were Control Interface, Form Features and Easy Maintenance; (5) the systematic design strategy was applied to dehumidifier design, and a total of 16 design schemes were created; the skating system was employed to screen preliminary design schemes, and the top four were B6, A6, B7 and A1; and (6) the scheme ranking was evaluated by means of ANP and DEA so that designers manage to evaluate the importance of each scheme based on various variables to finalize the desired design scheme. In terms of ANP, the top three of the design criteria were Overall Style (weight of 12.2%), Color Assortment (weight of 9.23%) and Operation (weight of 9.21%). On the other hand, in terms of DEA, the top three of the design criteria with higher overall efficiency were Overall Style, Color Assortment and Function Key Arrangement. When it comes to the scheme ranking, Scheme D scored the highest in all the aspects and is, therefore, considered an optimal design scheme. The study findings contribute to a practical and objective framework for designing and evaluating dehumidifiers to integrate consumer demand, product concepts and design, decision analysis, as well as evaluation and selection of design schemes. Consequently, substantial and explicit design of dehumidifiers may be realized, and the product design process may be efficiently enhanced, thereby accelerating the development of various products that meet customer demand and the time-to-market.
|
|---|
