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Concurrent Cost Engineering for decisional and operational process enhancement in a foundry

Author

Listed:
  • Alain Bernard

    (IRCCyN - Institut de Recherche en Communications et en Cybernétique de Nantes - Mines Nantes - Mines Nantes - ECN - École Centrale de Nantes - EPUN - Ecole Polytechnique de l'Université de Nantes - UN - Université de Nantes - UNAM - PRES Université Nantes Angers Le Mans - CNRS - Centre National de la Recherche Scientifique)

  • Nicolas Perry

    (IRCCyN - Institut de Recherche en Communications et en Cybernétique de Nantes - Mines Nantes - Mines Nantes - ECN - École Centrale de Nantes - EPUN - Ecole Polytechnique de l'Université de Nantes - UN - Université de Nantes - UNAM - PRES Université Nantes Angers Le Mans - CNRS - Centre National de la Recherche Scientifique)

  • Jean-Charles Delplace

    (Cetim - Centre Technique de l'Industrie Mécanique - CETIM)

Abstract

A company needs to attract new customers by reducing their production costs, controlling the process risks and developing differentiation factors. This scientific contribution is based on methodological propositions and deployments using concurrent cost engineering. Therefore, the bases of this paper are to understand the economical factors, their place within the industrial processes and to propose methodological solutions for a full cost engineering integration in the sand casting process, from negotiations to customer delivery. The approach is based on product and process definition, cost evaluation assistance, production impact simulation, process performance enhancement and total digital traceability for parts and tooling in a steel sand casting foundry.

Suggested Citation

  • Alain Bernard & Nicolas Perry & Jean-Charles Delplace, 2007. "Concurrent Cost Engineering for decisional and operational process enhancement in a foundry," Post-Print hal-00476635, HAL.
    • Handle: RePEc:hal:journl:hal-00476635
    DOI: 10.1016/j.ijpe.2006.11.001
    as

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    Cited by:

    1. Johnson, Michael D. & Kirchain, Randolph E., 2009. "Quantifying the effects of product family decisions on material selection: A process-based costing approach," International Journal of Production Economics, Elsevier, vol. 120(2), pages 653-668, August.

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