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

Chan, KY; Dillon, TS; Kwong, CK; Ling, SH

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

Chan, KY Dillon, TS Kwong, CK Ling, SH

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Publication Type:: Conference Proceeding
Citation:: Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011, 2011, pp. 526 - 531
Issue Date:: 2011-09-05

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Field	Value	Language
dc.contributor.author	Chan, KY	en_US
dc.contributor.author	Dillon, TS	en_US
dc.contributor.author	Kwong, CK	en_US
dc.contributor.author	Ling, SH https://orcid.org/0000-0003-0849-5098	en_US
dc.date.issued	2011-09-05	en_US
dc.identifier.citation	Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011, 2011, pp. 526 - 531	en_US
dc.identifier.isbn	9781424487554	en_US
dc.identifier.uri	http://hdl.handle.net/10453/119676
dc.description.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. © 2011 IEEE.	en_US
dc.relation.ispartof	Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011	en_US
dc.relation.isbasedon	10.1109/ICIEA.2011.5975642	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Using genetic programming for developing relationship between engineering characteristics and customer requirements in new products	en_US
dc.type	Conference Proceeding
utslib.for	080108 Neural, Evolutionary and Fuzzy Computation	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Biomedical Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
utslib.copyright.status	closed_access	*
pubs.publication-status	Published	en_US

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. © 2011 IEEE.

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http://hdl.handle.net/10453/119676