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Proposition of a Method enabling Components Requisitions and Forecasts Analysis in Assemble-to-Order Systems

Author

Listed:
  • Mohammed Hichame Benbitour

    (LGI - Laboratoire Génie Industriel - EA 2606 - CentraleSupélec)

  • Evren Sahin

    (LGI - Laboratoire Génie Industriel - EA 2606 - CentraleSupélec)

  • Yves Dallery

Abstract

In this report, we aim at determining the probability distribution of components demand in Alpha plants. Alpha is one of the world's top ten auto parts makers (the company's name has been altered for confidentiality issues). Based on the case of Alpha, we develop a general method of components requisitions and forecasts analysis in Assemble-to-Order systems. This method allows to find the probability distribution of components demand and to estimate the parameters of this distribution. We apply the proposed method to the case of an Alpha plant situated in the west of France. We find that component demand follows a compound Poisson distribution.

Suggested Citation

  • Mohammed Hichame Benbitour & Evren Sahin & Yves Dallery, 2018. "Proposition of a Method enabling Components Requisitions and Forecasts Analysis in Assemble-to-Order Systems," Working Papers hal-01802516, HAL.
    • Handle: RePEc:hal:wpaper:hal-01802516
    Note: View the original document on HAL open archive server: https://hal.science/hal-01802516
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    References listed on IDEAS

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    1. Atan, Zümbül & Ahmadi, Taher & Stegehuis, Clara & Kok, Ton de & Adan, Ivo, 2017. "Assemble-to-order systems: A review," European Journal of Operational Research, Elsevier, vol. 261(3), pages 866-879.
    2. Meyr, H., 2004. "Supply chain planning in the German automotive industry," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 36062, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    Full references (including those not matched with items on IDEAS)

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    Keywords

    demand analysis; assemble-to-order; automotive industry; 2;
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