实际柔性制造系统性能和可靠性评估的GSPN建模方法

B. Mazigh, J. Gresser, François Simon
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引用次数: 2

摘要

采用广义随机Petri网(GSPNs)对实际柔性制造系统进行建模和分析。首先,将性能和可靠性评估应用到实际系统中。对全局系统进行了分解,降低了复杂性评估。时间分析用于导出性能度量,例如每天的平均产量。其次,提出了一种通过引入有限容量缓冲器和不同生产线上的工作重组来提高生产率的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
GSPN modelling methods for performance and dependability evaluation of a real-life flexible manufacturing system
Generalized stochastic Petri nets (GSPNs) are used to model and analyze a real flexible manufacturing system (FMS). First, performance and dependability evaluation are applied to a real-life system. A global system is decomposed to reduce the complexity evaluation. Temporal analysis is used to derive performance measures such as the average production per day. Second, a solution is proposed to increase the production rate by introducing buffers with finite capacity and a reorganization of jobs on different production lines.<>
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