Discrete Event Simulation framework for Demand Driven MRP performances evaluation

Stéphanie Bayard; Frédéric Grimaud; Xavier Delorme

Conference papers

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.

Document type :

Conference papers

Domain :

Computer Science [cs] / Modeling and Simulation

Complete list of metadatas

https://hal-emse.ccsd.cnrs.fr/emse-03031639
Contributor : Florent Breuil <>
Submitted on : Monday, November 30, 2020 - 3:25:55 PM
Last modification on : Thursday, December 10, 2020 - 2:33:48 PM

Discrete Event Simulation framework for Demand Driven MRP performances evaluation

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Discrete Event Simulation framework for Demand Driven MRP performances evaluation

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