确定性条件下FMS随机Petri网建模在基于规则的在线调度中的应用

I. Hatono, N. Katoh, K. Yamagata, H. Tamura
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引用次数: 7

摘要

研究了不确定条件下柔性制造系统的建模和在线调度规则库的评价问题。为了表示机床故障、维修时间和加工时间等不确定事件,采用分层结构的连续时间和离散时间随机Petri网构建了FMS模型。为了获得在线实时的FMS高效调度,作者构建了一个规则库,并利用FMS仿真系统对规则库的性能进行了评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling of FMS under certainty using stochastic Petri nets-an application to rule-based on-line scheduling
The modeling of flexible manufacturing systems (FMS) under uncertainty and evaluation of a rule base for online scheduling is considered. To represent uncertain events in FMS, such as failure of machine tools, repair time and processing time, apply continuous-time and discrete-time stochastic Petri nets with hierarchical structure to constructing the FMS model. To obtain an efficient schedule of FMS with on-line real-time basis, the authors construct a rule base and evaluate the performance of the rule base using the FMS simulation system.<>
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