Abstract
The sorting mechanism underlying the traditional evaluation grid method with attractive factors mainly represents the time or the paired comparison method. However, the current approach employed to identify abstract factors of attractiveness may not be comprehensive. The objective of this article is to propose a hybrid method with an integrated fuzzy Kano model and fuzzy importance–performance analysis to evaluate attractive factors. Fuzzy importance–performance analysis is a more accurate quantitative–qualitative method for two-dimensional analysis, and integrated fuzzy Kano model compensates for the low-resolution problem of the traditional Kano model. A combination of both models arrives at a more comprehensive and reliable evaluation grid method evaluation mechanism. The results indicate that the attractive factors sorted through integrated fuzzy Kano model–fuzzy importance–performance analysis have deconstructed abstract factors and feature factors of the customer service robot. Moreover, the key factors of the products sorted by through integrated fuzzy Kano model–fuzzy importance–performance analysis provide a better understanding of customer expectations associated with the products, which consequently enables developers and designers to accurately understand the design style and conceive new ideas.
Highlights
New product ideas have to generate support before they can become formal development projects.[1]
The objective of this study is to propose a hybrid method of the integrated fuzzy Kano model (IFKM) and fuzzy importance–performance analysis (FIPA) that offers a solution to the above-mentioned problems
This illustrated the relationship between the corresponding reaction with 0 and 1, where remark 1 indicated with feature factors and remark 0 indicated without feature factors
Summary
New product ideas have to generate support before they can become formal development projects.[1] From a designer’s point of view, a better alternative would be to discover profitable ideas.[2] Vigorous challenges have transformed many manufacturers from being production-centralized to being customer driven.[3] customer satisfaction has become an important factor companies need to address when developing new products.[3] The evaluation grid method (EGM), which was introduced by Sanui,[4] is a theoretical method for preference-based design that has been utilized to develop attractive products or systems.[5] EGM is mainly used to evaluate the attractive factors of products, which consist of original level (preferred attribute of products), upper level (abstract factors) and lower level (specific feature factors).[5] A qualitative EGM matches
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