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Demand Driven MRP: assessment of a new approach to materials management

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  • Romain Miclo
  • Matthieu Lauras
  • Franck Fontanili
  • Jacques Lamothe
  • Steven A. Melnyk

Abstract

Demand driven material requirements planning or DDMRP is a recent and promising material management method that has been developed and implemented in the practitioner world. Essentially, DDMRP represents a rethinking of the basic MRP logic. By incorporating elements drawn from Lean Systems and the Theory of Constraints and by introducing new features such as dynamic buffers, DDMRP modifies the basic MRP logic so that it is better able to satisfy customer demands in an increasingly demanding, turbulent and dynamic environment. Claims have been made by firms that DDMRP represents a superior planning approach. In this paper, we introduce and explore DDMRP. In addition, we evaluate its effectiveness relative to two other widely accepted approaches – MRP II and Kanban/Lean production – through a series of structured computer simulation experiments. The results strongly indicate that DDMRP does represent a superior approach – one that warrants further academic study.

Suggested Citation

  • Romain Miclo & Matthieu Lauras & Franck Fontanili & Jacques Lamothe & Steven A. Melnyk, 2019. "Demand Driven MRP: assessment of a new approach to materials management," International Journal of Production Research, Taylor & Francis Journals, vol. 57(1), pages 166-181, January.
    • Handle: RePEc:taf:tprsxx:v:57:y:2019:i:1:p:166-181
    DOI: 10.1080/00207543.2018.1464230
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    Cited by:

    1. Khalil Tliba & Thierno M. L. Diallo & Olivia Penas & Romdhane Ben Khalifa & Noureddine Ben Yahia & Jean-Yves Choley, 2023. "Digital twin-driven dynamic scheduling of a hybrid flow shop," Journal of Intelligent Manufacturing, Springer, vol. 34(5), pages 2281-2306, June.
    2. 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.
    3. Wolfgang Seiringer & Balwin Bokor & Klaus Altendorfer, 2024. "Evaluating Production Planning and Control Systems in Different Environments: A Comparative Simulation Study," Papers 2405.02015, arXiv.org, revised Nov 2024.

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