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Journal articles
Simulation based optimization of a train maintenance facility
Abstract : In this paper, a simulation based optimization method is developed for optimization of scheduling policies. This method uses the technique of coupling industrial simulation software with a multi-objective optimizer based on genetic algorithms. It is used to optimize the performances of a railway maintenance facility by choosing the best scheduling policy. Numerical results show that a significant improvement is achieved with respect to the simulation results of the existing system. The method adapted by our problem can be extended to deal with the selection of scheduling rules in using other types of simulation models.
https://hal-utt.archives-ouvertes.fr/hal-02507693
Contributor : Daniel Gavrysiak Connect in order to contact the contributor
Submitted on : Friday, March 13, 2020 - 2:32:24 PM
Last modification on : Friday, August 27, 2021 - 3:14:07 PM
Contributor : Daniel Gavrysiak Connect in order to contact the contributor
Submitted on : Friday, March 13, 2020 - 2:32:24 PM
Last modification on : Friday, August 27, 2021 - 3:14:07 PM
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