Using genetic programming for developing relationship between engineering characteristics and customer requirements in new products

K. Y. Chan, T. S. Dillon, Chun Kit Kwong, S. H. Ling

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

4 Citations (Scopus)

Abstract

In product planning, development of models of relationship between engineering characteristics and customer requirements in new products is an important process in quality function deployment (QFD), which is a widely used customer driven approach. In this paper, a methodology based on genetic programming (GP) is presented to generate a reliable model that can be used to predict the customer requirements from the engineering characteristics. The proposed GP based method, which has the capability to carry out simultaneous optimization of model relationship structures and parameters, is used to automatically generate accurate nonlinear models relating the two requirements. A case study of the digital camera design shows that the proposed GP based method produce a more accurate and interpretable models than the other commonly used methods, which ignore nonlinear terms in the model development.
Original languageEnglish
Title of host publicationProceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011
Pages526-531
Number of pages6
DOIs
Publication statusPublished - 5 Sep 2011
Event2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011 - Beijing, China
Duration: 21 Jun 201123 Jun 2011

Conference

Conference2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011
CountryChina
CityBeijing
Period21/06/1123/06/11

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering

Cite this