Abstract
Linguistic is the systematic study of language. Now quality doesn't always mean the “tangible attribute” of a product or service. It may also be linguistic. Thus, linguistic has applied for product design through capturing the voice of Customers. Capturing of the voice of customers has been done in different way, like Quality Function Deployment (QFD), Kansei Engineering and Kano Model regarding product design. Kano Model has two dimensional linguistic approaches, which is more voice capturing capacity than other methods. Reverse attribute study is important for more reliable product design for next actions than other attributes of Kano model i.e. attractive, must-be, one-dimensional and indifferent. Thus, this paper is exclusively study for reverse attribute. For this purpose, a reverse attribute based linguistic approach, which is run in the computer system for product design regarding Kano model aspect using threshold numbers of real consumers opinions converted into probability through fuzzy concept as an input of Monte Carlo Simulation system determining virtual customers is described in this paper.
Highlights
The information and knowledge added to create and maintain the product ‐ in other words thecorporate memory ‐ are usually represented visually in sketches, models, drawings, and images
Seven accepted standard used to qualify a spoken text as a discourse has been suggested by Beaugrande (1981). These consist of Cohesion, Coherence Intentionality, Acceptability, Informativeness, Situationality, Intertextuality (Wiśniewski, K., 2006). This idea must be in front, when linguistics was applied for collecting customer opinions for product development
Many methods for analysis of customer voice have been studied for product development like, Kansei Engineering, Quality Function Deployment (QFD) and Kano Model
Summary
The information and knowledge added to create and maintain the product ‐ in other words thecorporate memory ‐ are usually represented visually in sketches, models, (technical) drawings, and images. These consist of Cohesion, Coherence Intentionality, Acceptability, Informativeness, Situationality, Intertextuality (Wiśniewski, K., 2006) This idea must be in front, when linguistics was applied for collecting customer opinions for product development. Language of people is needed study on the scientific way for product design For this purpose, many methods for analysis of customer voice have been studied for product development like, Kansei (total emotions of people regarding any product) Engineering, Quality Function Deployment (QFD) and Kano Model. It is needed to combine art, science and technology In this regards, we have studied basic linguistic, Kano model, fuzzy methods and their applications in product design.
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