基于PN模型和随机优化的自动存取系统最优控制策略

Proceedings of the Fourth International Workshop on Petri Nets and Performance Models PNPM91 Pub Date : 1991-12-02 DOI:10.1109/PNPM.1991.238794

F. Archetti, A. Sciomachen, A. Gaivoronski

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引用次数: 8

摘要

研究了以Petri网(PN)为代表的自动存储/检索系统中机器人处理员调度规则最优选择的随机优化方法。特别地，作者提出了一种结合仿真和优化的算法，旨在解决由于机器人同时来自不同队列的对象的请求而在系统中产生的冲突情况。提出了理论优化准则，并结合实例进行了分析。

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Optimal control policies for automated storage/retrieval system using PN models and stochastic optimization

Considers the stochastic optimization approach for the optimal selection of dispatching rules of a robot handler in an automatic storage/retrieval system represented by a Petri Net (PN). In particular, the authors propose a combined simulation and optimization algorithm aimed at solving the conflict situations arising in the system due to simultaneous requests of the robot from objects in different queues. The theoretical optimization criteria are presented along with a case study.<>

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Proceedings of the Fourth International Workshop on Petri Nets and Performance Models PNPM91

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