Dynamic analysis of customer needs using fuzzy Markov chain and fuzzy weighted average methods

Chun Kit Kwong, Huimin Jiang, R. Aydin

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

3 Citations (Scopus)

Abstract

Quality function deployment (QFD) is a well-known method of developing customer-oriented products for satisfying customer needs (CNs). One important process of QFD is to determine importance weights of CNs. However, it is also important to estimate the future importance of CNs because of the existence of the time interval between determining importance weights of CNs and the launch of new products. In this paper, an approach based on fuzzy Markov chain and fuzzy weighted average methods is proposed to determine both present and future importance weights of CNs. A case study of a packing machine design is used to illustrate the applicability of the proposed approach.
Original languageEnglish
Title of host publication2016 International Conference on Industrial Engineering and Engineering Management, IEEM 2016
PublisherIEEE Computer Society
Pages1605-1609
Number of pages5
Volume2016-December
ISBN (Electronic)9781509036653
DOIs
Publication statusPublished - 27 Dec 2016
Event2016 International Conference on Industrial Engineering and Engineering Management, IEEM 2016 - Bali, Indonesia
Duration: 4 Dec 20167 Dec 2016

Conference

Conference2016 International Conference on Industrial Engineering and Engineering Management, IEEM 2016
Country/TerritoryIndonesia
CityBali
Period4/12/167/12/16

Keywords

  • Customer needs
  • fuzzy Markov chain
  • fuzzy weighted average

ASJC Scopus subject areas

  • Business, Management and Accounting (miscellaneous)
  • Industrial and Manufacturing Engineering
  • Safety, Risk, Reliability and Quality

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