A product platform optimization method based on QFD

X. G. Luo, J. F. Tang, Chun Kit Kwong

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

4 Citations (Scopus)

Abstract

Quality function deployment (QFD) is a popular approach to design products that satisfy customer needs. To minimize the total quality loss caused by commonality when establishing a product platform and better satisfy customer requirements, this paper presents a five-step QFD-based methodology to determine the optimal values for platform engineering characteristics (ECs) and non-platform ECs of the products within a product family. First, the optimal values of ECs for each individual product within a family are determined. Then, the platform ECs are identified according to the calculated sensitivity indices of the ECs, and the values of each platform EC are clustered. A mathematical model is developed to simultaneously optimize the values of the platform and the non-platform ECs. Finally, the ECs that the worst overall customer satisfaction loss can be avoided are selected as platform ECs. A case study is used to demonstrate the methodology.
Original languageEnglish
Title of host publicationIEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management
Pages1317-1321
Number of pages5
DOIs
Publication statusPublished - 1 Dec 2009
EventIEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2009 - Hong Kong, Hong Kong
Duration: 8 Dec 200911 Dec 2009

Conference

ConferenceIEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2009
Country/TerritoryHong Kong
CityHong Kong
Period8/12/0911/12/09

Keywords

  • Customer requirements
  • Optimization
  • Product platform
  • Quality function deployment (QFD)

ASJC Scopus subject areas

  • Management of Technology and Innovation
  • Information Systems and Management
  • Industrial and Manufacturing Engineering
  • Safety, Risk, Reliability and Quality

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