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Deadlock-Free Scheduling Method for Flexible Manufacturing Systems Based on Timed Colored Petri Nets and Anytime Heuristic Search

机译:基于定时有色Petri网和任意启发式搜索的柔性制造系统无死锁调度方法

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This paper addresses the deadlock (DL)-free scheduling problem of flexible manufacturing systems (FMS) characterized by resource sharing, limited buffer capacity, routing flexibility, and the availability of material handling systems. The FMS scheduling problem is formulated using timed colored Petri net (TCPN) modeling where each operation has a certain number of preconditions, an estimated duration, and a set of postconditions. Based on the reachability analysis of TCPN modeling, we propose a new anytime heuristic search algorithm which finds optimal or near-optimal DL-free schedules with respect to makespan as the performance criterion. The methodology tackles the time-constrained problem of very demanding systems (high diversity production and make-to-order) in which computational time is a critical factor to produce optimal schedules that are DL-free. In such a rapidly changing environment and under tight customer due-dates, producing optimal schedules becomes intractable given the time limitations and the NP-hard nature of scheduling problems. The proposed anytime search algorithm combines breadth-first iterative deepening A* with suboptimal breadth-first heuristic search and backtracking. It guarantees that the search produces the best solution obtained so far within the allotted computation time and provides better solutions when given more time. The effectiveness of the approach is evaluated on a comprehensive benchmark set of DL-prone FMS examples and the computational results show the superiority of the proposed approach over the previous works.
机译:本文解决了柔性制造系统(FMS)的无死锁(DL)调度问题,该问题的特征在于资源共享,有限的缓冲区容量,路由灵活性以及物料搬运系统的可用性。 FMS调度问题是使用定时有色Petri网(TCPN)建模制定的,其中每个操作都具有一定数量的前提条件,估计的持续时间和一组后置条件。在TCPN建模的可达性分析的基础上,我们提出了一种新的随时启发式搜索算法,该算法针对makepan作为性能标准来查找最佳或接近最优的无DL调度。该方法解决了非常苛刻的系统(高度多样化的生产和按订单生产)的时间受限问题,其中计算时间是产生无DL最佳计划的关键因素。在这种瞬息万变的环境中以及紧迫的客户到期日之下,鉴于时间限制和调度问题的NP难性,制定最佳调度变得很棘手。所提出的随时搜索算法将广度优先迭代加深A *与次优广度优先启发式搜索和回溯相结合。它保证搜索可以在分配的计算时间内产生迄今为止获得的最佳解决方案,并在给定更多时间的情况下提供更好的解决方案。该方法的有效性在易于使用DL的FMS示例的综合基准集上进行了评估,计算结果表明,该方法优于以前的工作。

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