Using genetic programming for developing relationship between engineering characteristics and customer requirements in new products
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- @InProceedings{Chan:2011:ICIEA,
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author = "K. Y. Chan and T. S. Dillon and C. K. Kwong and
S. H. Ling",
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title = "Using genetic programming for developing relationship
between engineering characteristics and customer
requirements in new products",
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booktitle = "6th IEEE Conference on Industrial Electronics and
Applications (ICIEA 2011)",
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year = "2011",
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month = "21-23 " # jun,
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pages = "526--531",
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address = "Beijing, China",
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size = "6 pages",
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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 optimisation 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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keywords = "genetic algorithms, genetic programming, GP based
method, QFD, accurate nonlinear models, customer driven
approach, customer requirements, digital camera design,
engineering characteristics, interpretable models,
model development, model relationship structures, new
products, nonlinear terms, product development, product
planning, quality function deployment, reliable model,
simultaneous optimisation, customer services, product
development, production planning, quality function
deployment, reliability",
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DOI = "doi:10.1109/ICIEA.2011.5975642",
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ISSN = "pending",
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notes = "Also known as \cite{5975642}",
- }
Genetic Programming entries for
Kit Yan Chan
Tharam S Dillon
Che Kit Kwong
Sing Ho Ling
Citations