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Impact of the continuous and periodic assessment of a buffer replenishment on the DDMRP method

Ahlam Azzamouri, Pierre Baptiste, Robert Pellerin and Guillaume Dessevre

Article (2022)

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Abstract

Like Kanban or classic inventory management, Demand Driven Material Requirements Planning (DDMRP) assumes that an order is created when the stock level drops below a given level. The assessment of this level can be continuous or periodic. A periodic evaluation can force better repartition of the load over time. DDMRP characterizes the demand for a product by its average daily demand. This aggregation specifies neither the average size of the elementary demands nor the average duration between two elementary demands. Based on a discrete event simulation model, this study suggests that, at least for a flow-shop organization, the DDMRP method, with continuous order generation, is suitable for large mean time between elementary orders, while periodic observation improves the method for small values of it.

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Department: Department of Mathematics and Industrial Engineering
PolyPublie URL: https://publications.polymtl.ca/51468/
Journal Title: International Journal of Production Research (vol. 61, no. 16)
Publisher: Taylor & Francis
DOI: 10.1080/00207543.2022.2109219
Official URL: https://doi.org/10.1080/00207543.2022.2109219
Date Deposited: 18 Apr 2023 14:58
Last Modified: 09 Jan 2026 13:09
Cite in APA 7: Azzamouri, A., Baptiste, P., Pellerin, R., & Dessevre, G. (2022). Impact of the continuous and periodic assessment of a buffer replenishment on the DDMRP method. International Journal of Production Research, 61(16), 5637-5658. https://doi.org/10.1080/00207543.2022.2109219

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