Simulation based optimization of a train maintenance facility

by: Yasmina Hani, Lionel Amodeo, Farouk Yalaoui, Haoxun Chen

Journal of Intelligent Manufacturing, Vol. 19, No. 3. (20 June 2008), pp. 293-300.

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Abstract

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.

@article{citeulike:2827422, abstract = {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.}, author = {Hani, Yasmina and Amodeo, Lionel and Yalaoui, Farouk and Chen, Haoxun }, citeulike-article-id = {2827422}, doi = {10.1007/s10845-008-0082-8}, journal = {Journal of Intelligent Manufacturing}, keywords = {maintenance-system, simulation-models}, month = {June}, number = {3}, pages = {293--300}, posted-at = {2008-05-24 07:54:48}, priority = {2}, title = {Simulation based optimization of a train maintenance facility}, url = {http://dx.doi.org/10.1007/s10845-008-0082-8}, volume = {19}, year = {2008} }

RIS record

TY - JOUR ID - citeulike:2827422 L3 - citeulike-article-id:2827422 TI - Simulation based optimization of a train maintenance facility JF - Journal of Intelligent Manufacturing VL - 19 IS - 3 SP - 293 EP - 300 N2 - 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. KW - maintenance-system KW - simulation-models AU - Hani, Yasmina AU - Amodeo, Lionel AU - Yalaoui, Farouk AU - Chen, Haoxun PY - 2008/06/20/ UR - http://dx.doi.org/10.1007/s10845-008-0082-8 ER -

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