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Dynamic sequencing through mathematical and simulation approach in the context of industry 4.0

Abstract : The ability to adapt and respond to disruptive events is one of the main challenges for dynamic decision making. This aspect could concern roughly all problems of production organization at all levels and particularly at the operational level for sequencing problems. This paper presents two approaches based on the exact mathematical method and discrete simulation for solving this problem. We developpe a comparison between these approaches in sequencing and resequencing problems in the context of Industry 4.0 for a mixed-model assembly line. We consider the impacts of disruptive events and the real-time tracking of the jobs in all positions and the quality of solution as well as the reaction time to find a new solution for both models are discussed. The proposed mathematical model has been largely developed, but due to the limited page number, only the results of the simulation model are presented. The mathematical model has been developed by GAMS and the simulation model by FlexSim and OptQuest software. This paper is a part of our research project in collaboration with the company "FPT Powertrain Technologies" (FPT) which concerns the transformation of their production system towards the factory of the future. Dynamic sequencing is one of FPT's flagship projects. We used the objective, constraint and some data of this company, and some other data are inspired by this case.
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Contributor : Armand Baboli Connect in order to contact the contributor
Submitted on : Tuesday, January 5, 2021 - 4:48:29 PM
Last modification on : Tuesday, June 1, 2021 - 2:08:08 PM


  • HAL Id : hal-03098255, version 1


Mojtaba Ebrahimi, Behnam Einabadi, Armand Baboli, Eva Rother. Dynamic sequencing through mathematical and simulation approach in the context of industry 4.0. 13th International Conference on Modeling, Optimization and Simulation, Nov 2020, Agadir, Morocco. ⟨hal-03098255⟩



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