A weighted preference graph approach to analyze incomplete customer preference information in QFD product planning

P. Zheng, X. Xu, S. Q. Xie

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

6 Citations (Scopus)

Abstract

Nowadays, effective and accurate analysis of customer requirements (CRs) is vital in the new product development process, especially in the early design stage, where corresponding changes can be made easily into the further development stages. Quality function deployment (QFD), acting as a customer-centric product development tool, is widely utilized in the product planning stage. Despite its 'House of Quality' (HoQ) matrix support, it lacks a specific method in analyzing incomplete or imprecise customer preference of CRs. Though many methods have been proposed, they either required much elaborate information (not effective) or relied much on the subjective interpretations by designers (not accurate). Aiming to solve the problem, this paper introduces a novel weighted preference graph (PG) approach to analyze incomplete customer preference information in QFD product planning stage. Both its analysis procedures and fusion of individual perceptions are described. An example of a respiratory mask development is given to validate the process.

Original languageEnglish
Title of host publication2016 International Conference on Industrial Engineering and Engineering Management, IEEM 2016
PublisherIEEE Computer Society
Pages1070-1074
Number of pages5
ISBN (Electronic)9781509036653
DOIs
Publication statusPublished - 27 Dec 2016
Externally publishedYes
Event2016 International Conference on Industrial Engineering and Engineering Management, IEEM 2016 - Bali, Indonesia
Duration: 4 Dec 20167 Dec 2016

Publication series

NameIEEE International Conference on Industrial Engineering and Engineering Management
Volume2016-December
ISSN (Print)2157-3611
ISSN (Electronic)2157-362X

Conference

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

Keywords

  • customer-centric design
  • Preference graph
  • product planning
  • quality function deployment
  • relative importance rating

ASJC Scopus subject areas

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

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