Soliciting customer requirements for product redesign based on picture sorts and ART2 neural network

Meng Dar Shieh, Wei Yan, Chun Hsien Chen

Research output: Contribution to journalArticlepeer-review

31 Citations (Scopus)

Abstract

Design knowledge acquisition plays an extremely important role in new product conceptualization and product redesign. This study aims at facilitating the effectiveness of product redesign activities. It involves two interrelated phases, namely customer requirements elicitation and customer requirements evaluation. Sorting techniques, picture sorts in particular, have been employed for customer requirements acquisition during product redesign process. By applying such a systematic knowledge or requirements acquisition technique, some objectives and constraints of product redesign can then be identified. Furthermore, it has become an imperative to quantitatively and automatically analyze the elicited customer requirements so as to simplify and optimize the subsequent product conceptualization and selection of conceptual design alternatives. For this purpose, the adaptive resonance theory, especially ART2, neural network has been utilized for the preliminary design decisions, such as customer segmentation, in terms of customer requirements evaluation. A case study on the mobile hand phone redesign is used to demonstrate and validate this approach.

Original languageEnglish
Pages (from-to)194-204
Number of pages11
JournalExpert Systems With Applications
Volume34
Issue number1
DOIs
Publication statusPublished - 2008 Jan

All Science Journal Classification (ASJC) codes

  • Engineering(all)
  • Computer Science Applications
  • Artificial Intelligence

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