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首页> 外文期刊>International Journal of Production Research >Dynamic production control in a serial line with process queue time constraint
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Dynamic production control in a serial line with process queue time constraint

机译：具有流程队列时间限制的串行生产线中的动态生产控制

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摘要

This research examines the production control problem in two-station tandem queueing systems under time constraints. In these two-station tandem queueing systems, jobs must first be processed at the upstream station and then the downstream station. For each job, the sum of the waiting and processing time in the downstream queue is limited by an upper bound. This time constraint is called the process queue time constraint. When the process queue time constraint is violated, a significant scrap cost will be accrued. In this research, we develop a Markov decision model to study the production control problem under process queue time constraints. The objective is to minimise the sum of the expected long-run average inventory holding costs and scrap costs. According to the Markov decision model, an interesting exhaustive structure of the optimal production control policy is found. Based on this exhaustive structure, an efficient algorithm is developed to solve the production control problem numerically. The performance of the proposed algorithm is verified by a simulation study. Compared with other heuristics in the literature, the proposed algorithm can significantly reduce production costs while improving system throughput and utilisation.
机译：本文研究了在时间约束下两工位串联排队系统的生产控制问题。在这些两工作站串联排队系统中，必须先在上游工作站然后在下游工作站处理作业。对于每个作业，下游队列中等待和处理时间的总和受上限限制。此时间限制称为流程队列时间限制。当违反过程队列时间限制时，将产生大量的报废成本。在这项研究中，我们开发了一个马尔可夫决策模型来研究在工艺队列时间约束下的生产控制问题。目的是使预期的长期平均库存持有成本和报废成本之和最小。根据马尔可夫决策模型，找到了最优生产控制策略的有趣的详尽结构。基于这种详尽的结构，开发了一种有效的算法以数值方式解决生产控制问题。仿真研究验证了该算法的性能。与文献中的其他启发式算法相比，该算法可以显着降低生产成本，同时提高系统的吞吐量和利用率。

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