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Optimal batch process admission control in tandem queueing systems with queue time constraint considerations

机译:考虑排队时间约束的串联排队系统中的最佳批处理准入控制

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In this paper, a dynamic control method for two-stage queueing systems with process queue time (PQT) constraints is presented. This queueing system consists of an upstream batch process machine and a downstream single process machine. The waiting time of each job in the downstream queue is constrained by an upper limit. Violation of this upper limit causes scrap of the job. A batch machine poses a problem for the two-stage system under PQT constraints. After completion of batch process, a large quantity of work-in-process (WIP) moves into the downstream queue with PQT constraints. This increases the variance of downstream queue length and the probability of scrap. In this research, we incorporate dynamic programming algorithm in batch process admission control (BPAC) model. The performance of BPAC model is verified by simulation. Simulation results demonstrate that the proposed BPAC model outperforms other methods in every key system performance indices.
机译:本文提出了一种具有过程队列时间(PQT)约束的两阶段排队系统的动态控制方法。该排队系统由上游批处理机和下游单处理机组成。下游队列中每个作业的等待时间受到上限的限制。违反此上限将导致工作报废。对于PQT约束的两阶段系统,批处理机会产生问题。批处理完成后,大量在制品(WIP)进入具有PQT约束的下游队列。这增加了下游队列长度的变化和报废的可能性。在这项研究中,我们将动态编程算法纳入批处理准入控制(BPAC)模型中。通过仿真验证了BPAC模型的性能。仿真结果表明,所提出的BPAC模型在每个关键系统性能指标上均优于其他方法。

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