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首页> 外文期刊>Journal of Manufacturing Systems >Scheduling Algorithms for Flexible Manufacturing Systems with Partially Grouped Machines
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Scheduling Algorithms for Flexible Manufacturing Systems with Partially Grouped Machines

机译:具有部分分组机器的柔性制造系统的调度算法

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摘要

This paper focuses on a scheduling problem in a flexible manufacturing system. Unlike most previous studies, this paper deals with the scheduling problem resulting from a loading plan obtained for the configuration of the partial machine grouping, where machines are tooled differently, but multiple machines can be assigned to each operation. The planned workload of each machine specified by the loading plan may or may not be maintained when scheduling and controlling part flows. In this paper, two solution algorithms in which a given planned workload is maintained are suggested based on decomposition of the entire problem into route selection and job shop scheduling problems. In one algorithm, the two subproblems are solved simultaneously by employing rules for part selection and machine selection, while in the other they are solved using a simulated annealing algorithm and dispatching rules. Performance of the suggested algorithms is tested on randomly generated test problems, and results show that the latter algorithms give better solutions and solve the problems in a reasonable amount of computation time. Also, it is shown from computational experiments that it is better to maintain planned workloads.
机译:本文着眼于柔性制造系统中的调度问题。与大多数以前的研究不同,本文讨论了由于部分机器分组的配置而获得的装载计划所导致的调度问题,在这种机器中,机器的工具不同,但是每个操作可以分配多台机器。在计划和控制零件流时,可以维护或可以不维护由装载计划指定的每台机器的计划工作量。本文将整个问题分解为路线选择和车间调度问题,提出了两种维护既定计划工作量的解决方案算法。在一种算法中,通过使用零件选择和机器选择规则来同时解决两个子问题,而在另一种算法中,则使用模拟退火算法和调度规则来解决这两个子问题。在随机产生的测试问题上测试了所提出算法的性能,结果表明,后一种算法给出了更好的解决方案,并在合理的计算时间内解决了这些问题。另外,从计算实验中可以看出,最好保持计划的工作量。

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