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Robust production scheduling under machine failures - A DES based evaluation approach

机译:机器故障下的稳健生产计划-基于DES的评估方法

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Discrete Event Systems (DES) have already proved their efficiency to model and solve scheduling production problems in the field of manufacturing systems. Their main asset is the capacity to represent the dynamic behavior of workshops.The stochastic extensions of DES models offers, actually, interesting characteristics to take into consideration the perturbations in scheduling. In this paper, we propose to use a stochastic DES approach (using stochastic timed automata) to evaluate the robustness of schedules under perturbations. The perturbations that are considered are the machine failures with uncertain reparation duration.
机译:离散事件系统(DES)已经证明了其在制造系统领域中建模和解决计划生产问题的效率。他们的主要资产是代表车间动态行为的能力。DES模型的随机扩展实际上提供了有趣的特性,可以考虑调度中的干扰。在本文中,我们建议使用随机DES方法(使用随机定时自动机)来评估在扰动下调度的鲁棒性。所考虑的扰动是维修时间不确定的机器故障。

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