Distributed event-control for deadlock avoidance in automated manufacturing systems
Distributed event-control for deadlock avoidance in automated manufacturing systems
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DOI：
10.1080/00207540110034904
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发表时间：
2001-01
影响因子：
9.2
通讯作者：
M. P. Fanti;G. Maione;B. Turchiano
中科院分区：
文献类型：
--
作者：
M. P. Fanti;G. Maione;B. Turchiano
本文提出了一种分散的事件控制策略来避免自动化制造系统中的死锁。根据当前活动部件组合的特点，将系统划分为可使用图论工具进行局部独立控制的子系统。每个子系统的控制器可以根据子系统的具体布局，在计算成本和资源分配灵活性之间选择最佳折衷方案。分散的方案使整个系统提高了灵活性，并保证了良好的性能指标。该方法特别适用于不排除细胞间流动的细胞制造系统。在这种情况下，该方法确定可以单独控制的细胞和必须联合控制的细胞。通过离散事件仿真验证了所提方法的有效性。
This paper develops a decentralized event-control strategy to avoid deadlock in automated manufacturing systems. On the basis of the characteristics of the part mix that is currently active, the system is partitioned in subsystems that can be controlled locally and independently using graph-theoretic tools. The controller of each subsystem can be chosen as the best compromise between computational costs and flexibility in resource allocation and depending on the particular layout of the subsystem. The decentralized scheme allows the overall system to improve its flexibility and guarantee good performance measures. The approach is particularly suitable for cellular manufacturing systems that do not exclude intercell flow. In this case the method determines the cells that can be controlled independently and the ones that must be controlled jointly. A case study performed by discrete-event simulation confirms the efficiency of the proposed methodology.