Rapid identification of the optimal product configuration and its parameters based on customer-centric product modeling for one-of-a-kind production

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@Article{Hong2010270,
  author =       "Gang Hong and Deyi Xue and Yiliu Tu",
  title =        "Rapid identification of the optimal product
                 configuration and its parameters based on
                 customer-centric product modeling for one-of-a-kind
                 production",
  journal =      "Computers in Industry",
  volume =       "61",
  number =       "3",
  pages =        "270--279",
  year =         "2010",
  ISSN =         "0166-3615",
  DOI =          "doi:10.1016/j.compind.2009.09.006",
  URL =          "http://people.ucalgary.ca/~dxue/journal/COMIND2010.pdf",
  URL =          "http://www.sciencedirect.com/science/article/B6V2D-4XHC68M-2/2/3d71e33179122a81965181a637daea9e",
  keywords =     "genetic algorithms, genetic programming, One-of-a-kind
                 production, Customer-centric product modelling, Pattern
                 recognition, Rough set, Optimisation",
  abstract =     "One-of-a-kind production (OKP) aims at manufacturing
                 products based on the individual customer requirements
                 while maintaining the high quality and efficiency of
                 mass production. This paper presents a customer-centric
                 product modelling scheme to model OKP product families
                 by considering the relations between customer needs and
                 OKP products. In this modeling scheme, an OKP product
                 family is modelled by an AND-OR tree. In order to
                 investigate the relations between customer needs and
                 OKP products, data mining techniques are employed to
                 achieve knowledge from the historical data. First, OKP
                 products and customer requirements are grouped into
                 product patterns and customer patterns, respectively,
                 using a fuzzy pattern clustering method. Then, hybrid
                 attribute reduction is carried out based on rough set
                 theory to remove the irrelevant attributes for each
                 product pattern. Finally, the relationships between
                 product patterns and customer patterns are obtained.
                 Based on the achieved knowledge, the different patterns
                 of OKP products are modeled by different sub-AND-OR
                 trees trimmed from the original AND-OR tree. Since only
                 partial product descriptions in a product family are
                 used to identify the optimal custom product based on
                 customer requirements, the efficiency of custom product
                 identification process can be improved considerably.",
}

Genetic Programming entries for Gang Hong Deyi Xue Yiliu (Paul) Tu

Citations