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Discrete Event Simulation framework for Demand Driven MRP performances evaluation

Stéphanie Bayard 1, 2, 3, 4 Frédéric Grimaud 1, 2, 3, 4 Xavier Delorme 1, 2, 3, 4
1 Mines Saint-Étienne MSE - École des Mines de Saint-Étienne
2 FAYOL-ENSMSE - Institut Henri Fayol
3 LIMOS - Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes
4 FAYOL-ENSMSE - Département Génie mathématique et industriel
Abstract : This work proposes a framework based on a discrete event simulation to evaluate Demand Driven MRP (DDMRP) performances in both in-vivo and in-vitro experiment. The target is to use exactly the same modeling environment to evaluate particular points risen in industrial cases. As industrial cases often present a high level of complexity, it is challenging to be able to define performance triggers of their production systems. Our framework proposes to use a simpler case in the in-vitro stage but in the same conditions to explain phenomenon emerging from the in-vivo stage. We propose as an illustration to explain triggers of couterperformance of DDMRP found in a industrial case with a specific context of low but regular volume and a jobshop configuration.
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Conference papers
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https://hal-emse.ccsd.cnrs.fr/emse-03031639
Contributor : Florent Breuil <>
Submitted on : Monday, November 30, 2020 - 3:25:55 PM
Last modification on : Monday, May 10, 2021 - 10:52:08 AM

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  • HAL Id : emse-03031639, version 1

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EMSE | DEMO-ENSMSE | FAYOL-ENSMSE | LIMOS | TDS-MACS | CNRS | PRES_CLERMONT | INSTITUT-TELECOM

Citation

Stéphanie Bayard, Frédéric Grimaud, Xavier Delorme. Discrete Event Simulation framework for Demand Driven MRP performances evaluation. 34th annual European Simulation and Modelling Conference (ESM 2020), EUROSIS, Oct 2020, Toulouse, France. pp.131-138. ⟨emse-03031639⟩

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