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Monte-Carlo simulation and flow-time minimization with set-up times and unequal release dates for maintenance planning

Abstract : In this paper, a method based on local optimality rules is extended to maintenance planning in a random environment, where its robustness is evaluated using Monte Carlo simulation. The heuristics based on the local optimality rules consider tasks with unequal release dates and sequence-dependent set-up times characterized by the task sequences to minimize their flow-time. The appropriate priority rules enable optimizing tasks locally and minimizing their total weighted flow-time (resp. unweighted flow-time). Comparing the method in deterministic environments to random environments shows that it is greatly robust. The low polynomial complexity of heuristics based on the priority rules allows their use on distributed systems of large dimensions.
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https://hal.univ-lorraine.fr/hal-03091284
Contributor : Kondo Adjallah Connect in order to contact the contributor
Submitted on : Wednesday, December 30, 2020 - 7:16:16 PM
Last modification on : Tuesday, October 26, 2021 - 8:14:03 AM

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  • HAL Id : hal-03091284, version 1

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Kossi Pélopé Adzakpa, Kondo Hloindo Adjallah. Monte-Carlo simulation and flow-time minimization with set-up times and unequal release dates for maintenance planning. IMS'2004 - International Conference on Intelligent Maintenance Systems: Advances in Maintenance and Modeling, Simulation, and Intelligent Monitoring of Degradation, Jul 2004, Arles, France. pp.CDROM, ISBN: 2-9522453-0-4. ⟨hal-03091284⟩

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