随机Petri网提高机器可用性对整体设备有效性的影响

Aman Zineb, L. Ezzine, Haj El Moussami
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引用次数: 1

摘要

本章的目的是证明随机petri网在维护领域的鲁棒性,以提高机器的可用性。我们的目标是通过使用两个性能指标:平均故障间隔时间(MTBF:两次连续故障之间的时间)和平均维修时间(MTTR:平均维修时间)来提出生产现场维修功能的随机Petri网建模,以提高设备性能。分布规律的确定是各项统计研究的基础,为设备性能的评估提供了一个有力、可靠的模型。在确定了这些规律后,我们转而对Petri网进行建模,我们提出了建立有效的预防性维护计划,旨在提高可靠性,从而降低故障概率。因此,我们提高了机器的可用性,然后提高了整体设备的效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Impact of Improving Machines’ Availability Using Stochastic Petri Nets on the Overall Equipment Effectiveness
The objective of this chapter is to demonstrate the robustness of stochastic petri nets in the field of maintenance for the improvement of machine availability. We aim to present the modeling of the maintenance function in a production site with stochastic Petri nets by using two performance indicators: the mean time between failures (MTBF: the time between two successive failures) and the mean time to repair (MTTR: average time to repair) to improve the equipment performance. The determination of the distribution law is essential for each statistical study and provides a powerful and reliable model for the evaluation of the equipment performance. After determining these laws we switched to modeling Petri nets, we proposed the establishment of an effective preventive maintenance plan which aims at increasing the reliability, thus reducing the probability of failures. Consequently, we increase the machines' availability and then the overall equipment effectiveness.
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