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Job Shop Scheduling using Multi-Agent Systems

机译:使用多代理系统的作业商店计划

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This paper investigates heuristics to improve the intelligence of the head of the supply chain in a contract net framework for a multi-agent system used to solve a job shop scheduling problem. The heuristics prioritise the selection of the next operation to be scheduled and allow the head of the supply chain to intelligently influence the scheduled time for the operation. It was found that the policy of scheduling the longer operations first at the earliest time possible, then scheduling the shorter operations allowing them to be scheduled in the gaps left by the longer operations, leads to the improvement of the quality of schedule produced with respect to the objectives of meeting customer delivery deadline, minimising average batch makespan and maximising machine utilisation.
机译:本文研究了启发式,以改善供应链负责人的合同净框架的智能,用于解决工作商店调度问题的多助理系统。启发式优先顺序选择要安排的下一个操作,并允许供应链的头部智能地影响其操作的预定时间。结果发现,尽可能最早地调度较长的操作的策略,然后调度允许它们在较长的操作留在留下的差距中的较短操作导致改善关于相对于所产生的时间表质量的提高满足客户交付截止日期的目标,最大限度地减少平均批量生产和最大化机器利用率。

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