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Compréhension du DDMRP et de son adoption : premiers éléments empiriques

Author

Listed:
  • Baptiste Bahu

    (CREM - Centre de recherche en économie et management - UNICAEN - Université de Caen Normandie - NU - Normandie Université - UR - Université de Rennes - CNRS - Centre National de la Recherche Scientifique)

  • Laurent Bironneau

    (CREM - Centre de recherche en économie et management - UNICAEN - Université de Caen Normandie - NU - Normandie Université - UR - Université de Rennes - CNRS - Centre National de la Recherche Scientifique)

  • Vincent Hovelaque

    (CREM - Centre de recherche en économie et management - UNICAEN - Université de Caen Normandie - NU - Normandie Université - UR - Université de Rennes - CNRS - Centre National de la Recherche Scientifique)

Abstract

Demand-driven material requirements planning (DDMRP) is a recent production planning and control (PPC) system. It is a subject of interest to the professional press. Indeed, numerous articles highlight cases where the implementation of DDMRP has succeeded. The demand-driven system and the dynamic dimensioning of decoupled points (resulting from a strategic inventory positioning) make the DDMRP an alternative to the traditional PPC system. Forecasts are no longer the signal to release a production, purchase and intra-company stock transfer order. Instead, DDMRP provides signals based on priority and critical colors – green, yellow and red – collected in a visual plan updated in real time. The aim of this article is to describe how this method works, define its limits, and understand the reasons why companies choose to implement it.

Suggested Citation

  • Baptiste Bahu & Laurent Bironneau & Vincent Hovelaque, 2019. "Compréhension du DDMRP et de son adoption : premiers éléments empiriques," Post-Print halshs-02024594, HAL.
    • Handle: RePEc:hal:journl:halshs-02024594
    DOI: 10.1080/12507970.2018.1547130
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-02024594
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    Cited by:

    1. Daniela Favaretto & Alessandro Marin & Marco Tolotti, 2023. "A theoretical validation of the DDMRP reorder policy," Computational Management Science, Springer, vol. 20(1), pages 1-28, December.
    2. Daniela Favaretto & Alessandro Marin & Marco Tolotti, 2021. "A data-driven and risk-based prudential approach to validate the DDMRP planning and control system," Working Papers 09, Venice School of Management - Department of Management, Università Ca' Foscari Venezia.

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