Fuzzy-based Taguchi method for multi-response optimization of product form design in Kansei engineering: A case study on car form design

Sugoro Bhakti Sutono, Salwa Hanim Abdul-Rashid, Hideki Aoyama, Zahari Taha

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

An integrated fuzzy-based Taguchi method (TM) for multi-response optimization of product form design is presented in this paper. The fuzzy-based TM is applied to determine the optimum combination of design parameters for product form design which will fulfill consumers' aesthetic and emotional needs. Since conventional TM is incapable of handling multi-response optimization problems, a fuzzy logic system is integrated with the TM to overcome this problem. A case study of a car form design is used to demonstrate the effectiveness of the fuzzy-based TM and confirmation test is carried out to verify the method. It is found that the integrated design optimization method is capable of solving multi-response optimization problems in Kansei engineering (KE) and is able to determine the optimum combination of design parameters of a car form which are representative of consumers' perception. The optimum designs generated from the integrated design optimization method are compared with competitor designs. It is found that the integrated design optimization method gives the best overall performance.

Original languageEnglish
Pages (from-to)1-16
Number of pages16
JournalJournal of Advanced Mechanical Design, Systems and Manufacturing
Volume10
Issue number9
DOIs
Publication statusPublished - 2016 Jan 1

Keywords

  • Fuzzy logic
  • Kansei engineering
  • Multi-response optimization
  • Product design
  • Taguchi method

ASJC Scopus subject areas

  • Mechanical Engineering
  • Industrial and Manufacturing Engineering

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