Identification of the optimal product configuration and parameters based on individual customer requirements on performance and costs in one-of-a-kind production

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@Article{Hong:2008:IJPR,
  author =       "G. Hong and L. Hu and D. Xue and Y. L. Tu and 
                 Y. L. Xiong",
  title =        "Identification of the optimal product configuration
                 and parameters based on individual customer
                 requirements on performance and costs in one-of-a-kind
                 production",
  journal =      "International Journal of Production Research",
  year =         "2008",
  volume =       "46",
  number =       "12",
  pages =        "3297--3326",
  publisher =    "Taylor \& Francis",
  keywords =     "genetic algorithms, genetic programming, One-of-a-kind
                 production (OKP), Optimization, Customer requirements",
  ISSN =         "1366-588X",
  DOI =          "doi:10.1080/00207540601099274",
  size =         "29 pages",
  abstract =     "One-of-a-kind production (OKP) aims at manufacturing
                 products based on the requirements from individual
                 customers while maintaining the high quality and
                 efficiency of mass production. This research addresses
                 the issues in identifying the optimal product
                 configuration and its parameters based on individual
                 customer requirements on performance and costs of
                 products. In this work, variations of product
                 configurations and parameters in an OKP product family
                 are modelled by an AND-OR tree and parameters of the
                 nodes in this tree. Different product configurations
                 with different parameters are evaluated by performance
                 and cost measures. These evaluation measures are
                 converted into comparable customer satisfaction indices
                 using the non-linear relations between the evaluation
                 measures and the customer satisfaction indices. The
                 optimal product configuration and its parameters with
                 the maximum overall customer satisfaction index are
                 identified by genetic programming and constrained
                 optimisation. A case study to identify the optimal
                 configuration and its parameters of window products in
                 an industrial company is used to demonstrate the
                 effectiveness of the introduced approach.",
  notes =        "Official Journal of the International Foundation for
                 Production Research (IFPR)",
}

Genetic Programming entries for Gang Hong Lilin Hu Deyi Xue Yiliu (Paul) Tu Y L Xiong

Citations