Goal programming in Quality Function Deployment using genetic algorithm

Na Tian, A. Da Che

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Quality Function Deployment (QFD) is a systematic approach that captures customer requirements and translates them, through House of Quality (HOQ), into technical characteristics of the product. An important activity in constructing a HOQ is to determine improvement ratios for the technical characteristics, based on the collected customer requirements, with a view to achieving a high level of overall customer satisfaction. Traditional methods for this planning process are mainly subjective, and often result in a non-optimal or sub-optimal solution, especially with many customer requirements and technical characteristics. This paper presents a goal programming approach to QFD planning. We first present a generic goal programming model for QFD. We then propose a genetic algorithm for linear and nonlinear goal programming models in QFD. Computational experiments show that the proposed approach is effective.

Original languageEnglish
Title of host publicationProceedings of 2007 International Conference on Management Science and Engineering, ICMSE'07 (14th)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages482-487
Number of pages6
ISBN (Print)9787883580805
DOIs
StatePublished - 2007
Event2007 International Conference on Management Science and Engineering, ICMSE'07 - Harbin, China
Duration: 20 Aug 200722 Aug 2007

Publication series

NameProceedings of 2007 International Conference on Management Science and Engineering, ICMSE'07 (14th)

Conference

Conference2007 International Conference on Management Science and Engineering, ICMSE'07
Country/TerritoryChina
CityHarbin
Period20/08/0722/08/07

Keywords

  • Genetic algorithm
  • Goal programming
  • Optimization
  • Quality function deployment

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