Abstract
With the increasingly intense competition in the market, more attention has been paid to customer’s perceptual requirements. Combining human sensibility and technology, Kansei Engineering plays a crucial role for industrial designers in making decisions at an earlier design stage in product development. However, sometimes it is challenging to define the customer requirements during the market research phase, especially for the perceptual requirements. Given this problem, this paper develops a process for establishing perceptual indexes based on the axiomatic design approach to improve design efficiency. To achieve this, an initial perceptual index is first built based on data previously collected from designers or design agencies. Then, the theory of axiomatic design is used to classify the schemes. The final perceptual index is filtered and built according to the frequency of occurrence.
Highlights
With increasingly intense competition in the market, the development of products to meet customer needs has already emerged as a core competency
Based on the problem of mapping customers’ need from the user domain to the functional domain in axiomatic design (AD), this paper develops a process for establishing perceptual indexes based on AD to improve design quality and efficiency
To obtain valuable CRs and functional requirements (FRs) from the MRD and design specification, semantic analysis and word frequency statistics are used as the first step
Summary
With increasingly intense competition in the market, the development of products to meet customer needs has already emerged as a core competency. To accurately transform customer attributes (CAs) into functional requirements (FRs), the measurement and establishment of perceptual indexes is necessary. The input of a new product design mostly originates from the market requirements documents or specification (MRD or MRS) (Suh, 2001). Within the same product field, it is necessary to find perceptual indexes that satisfy both axioms in the AD for the most cases Given this problem, a process is proposed in this work for establishing perceptual indexes based on the AD method to improve the design quality and efficiency. The adjectives that represent customer attributes in the optimized design matrix are output These adjectives can effectively guide the development of the MRD/MRS for similar products. The MRD and design specification data generated during the new product design can be entered into the historical database to achieve iterative optimization
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