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

    Access Status
    Fulltext not available
    Authors
    Chan, Kit Yan
    Dillon, Tharam
    Kwong, C.
    Ling, S.
    Date
    2011
    Type
    Conference Paper
    
    Metadata
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    Citation
    Chan, K.Y. and Dillon, T.S. and Kwong, C.K. and Ling, S.H. 2011. Using genetic programming for developing relationship between engineering characteristics and customer requirements in new products, in 6th IEEE Conference on Industrial Electronics and Applications (ICIEA 2011), Jun 21-23 2011. Beijing, China: IEEE.
    Source Title
    Proceedings of the 6th IEEE conference on industrial electronics and applications (ICIEA 2011)
    Source Conference
    6th IEEE Conference on Industrial Electronics and Applications (ICIEA 2011)
    DOI
    10.1109/ICIEA.2011.5975642
    ISBN
    978-1-4244-8755-4
    School
    Digital Ecosystems and Business Intelligence Institute (DEBII)
    URI
    http://hdl.handle.net/20.500.11937/37195
    Collection
    • Curtin Research Publications
    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.

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