Optimal product positioning based on quality function deployment

Xinggang Luo, Jiafu Tang, Chun Kit Kwong

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

Abstract

A new method for optimal product positioning based on quality function deployment (QFD) is proposed. Perceptual mapping and house of quality (HoQ) are introduced to link the consumer perceptual space, product attribute space and product engineering space. The degree of overall customer satisfaction is introduced in the rule of consumer choice probability. An optimal product positioning model is established based on QFD. Genetic algorithms are applied to achieve the optimal value settings of a new product's engineering characteristics. Finally, an example of optimal positioning is given to illustrate the feasibility of the proposed model and algorithm.
Original languageEnglish
Title of host publication2009 Chinese Control and Decision Conference, CCDC 2009
Pages4284-4287
Number of pages4
DOIs
Publication statusPublished - 17 Nov 2009
Event2009 Chinese Control and Decision Conference, CCDC 2009 - Guilin, China
Duration: 17 Jun 200919 Jun 2009

Conference

Conference2009 Chinese Control and Decision Conference, CCDC 2009
CountryChina
CityGuilin
Period17/06/0919/06/09

Keywords

  • Genetic algorithm
  • Product positioning
  • Quality function deployment

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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