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Scheduling of flexible manufacturing systems based on Petri nets and hybrid heuristic search

机译:基于Petri网和混合启发式搜索的柔性制造系统调度

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摘要

This paper proposes and evaluates a hybrid search strategy and its application to flexible manufacturing system (FMS) scheduling in a Petri net framework. Petri nets can concisely model multiple lot sizes for each job, the strict precedence constraint, multiple kinds of resources, and concurrent activities. To cope with the complexities for FMS scheduling, this paper presents a hybrid heuristic search strategy, which combines the heuristic A~* strategy with the DF strategy based on the execution of the Petri nets. The search scheme can invoke quicker termination conditions, and the quality of the search result is controllable. To demonstrate this, the scheduling results are derived and evaluated through a simple FMS with multiple lot sizes for each job. The algorithm is also applied to a set of randomly generated more complex FMSs with such characteristics as limited buffer sizes, multiple resources, and alternative routings.
机译:本文提出并评估了混合搜索策略及其在Petri网框架中的柔性制造系统(FMS)调度中的应用。 Petri网可以为每个作业,严格的优先级约束,多种资源和并行活动简洁地建模。为了解决FMS调度的复杂性,本文提出了一种混合启发式搜索策略,该算法将Petri网的执行结合了启发式A〜*策略和DF策略。搜索方案可以调用更快的终止条件,并且搜索结果的质量是可控的。为了证明这一点,调度结果是通过简单的FMS导出并评估的,每个作业具有多个批量。该算法还应用于一组随机生成的更复杂的FMS,这些FMS具有诸如缓冲区大小有限,多个资源和备用路由之类的特征。

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