Generalised design for optimal product configuration View Full Text


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Article Info

DATE

2010-07

AUTHORS

Egon Ostrosi, Salima Tié Bi

ABSTRACT

Design of configurable product family or design for configuration has emerged as an efficient tool to deal with the new challenges of a continuous dynamic and volatile market. Design for configuration provides an efficient and effective mean to realise the product variety. This paper tackles the optimal product configuration. The introduction of fuzziness to capture the subjective nature of the design for configuration process, the building of multiple fuzzy models, which correspond to the multiple views of a configurable product, permits to propose the possible physical solutions to configure a product. It corresponds to the consensus problem of design for configuration. The extended problem formulation is the proposition of an optimal product configuration. The optimal solution is searched using p median problem formulation. The proposed approach is validated by the design case study of a configurable product. More... »

PAGES

13-25

References to SciGraph publications

  • 1996. Fuzzy Set Theory—and Its Applications in NONE
  • 2009-02. An exploratory study of the general requirement representation model for product configuration in mass customization mode in THE INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
  • 2007-07. Study on product configuration based on product model in THE INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
  • 2005-01. Configuration-oriented product modelling and knowledge management for made-to-order manufacturing enterprises in THE INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
  • 2008-07. Customer-driven product configuration optimization for assemble-to-order manufacturing enterprises in THE INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
  • 2006-08. Product configuration optimization using a multiobjective genetic algorithm in THE INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s00170-009-2397-9

    DOI

    http://dx.doi.org/10.1007/s00170-009-2397-9

    DIMENSIONS

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