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

doi:10.1109/ICIEA.2011.5975642

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 proceeding › Conference article published in proceeding or book › Academic research › peer-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 language	English
Title of host publication	Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011
Pages	526-531
Number of pages	6
DOIs	https://doi.org/10.1109/ICIEA.2011.5975642
Publication status	Published - 5 Sept 2011
Event	2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011 - Beijing, China Duration: 21 Jun 2011 → 23 Jun 2011

Conference

Conference	2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011
Country/Territory	China
City	Beijing
Period	21/06/11 → 23/06/11

ASJC Scopus subject areas

Electrical and Electronic Engineering
Industrial and Manufacturing Engineering

More information

10.1109/ICIEA.2011.5975642

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Chan, K. Y., Dillon, T. S., Kwong, C. K., & Ling, S. H. (2011). Using genetic programming for developing relationship between engineering characteristics and customer requirements in new products. In Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011 (pp. 526-531). Article 5975642 https://doi.org/10.1109/ICIEA.2011.5975642

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title = "Using genetic programming for developing relationship between engineering characteristics and customer requirements in new products",

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.",

author = "Chan, {K. Y.} and Dillon, {T. S.} and Kwong, {Chun Kit} and Ling, {S. H.}",

year = "2011",

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doi = "10.1109/ICIEA.2011.5975642",

language = "English",

isbn = "9781424487554",

pages = "526--531",

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note = "2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011 ; Conference date: 21-06-2011 Through 23-06-2011",

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Chan, KY, Dillon, TS, Kwong, CK & Ling, SH 2011, Using genetic programming for developing relationship between engineering characteristics and customer requirements in new products. in Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011., 5975642, pp. 526-531, 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011, Beijing, China, 21/06/11. https://doi.org/10.1109/ICIEA.2011.5975642

Using genetic programming for developing relationship between engineering characteristics and customer requirements in new products. / Chan, K. Y.; Dillon, T. S.; Kwong, Chun Kit et al.
Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011. 2011. p. 526-531 5975642.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AB - 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.

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

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