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An efficient constructive heuristic to balance trade-offs between makespan and flowtime in permutation flow shop scheduling

机译:一种有效的建设性启发式,可以平衡换算流程店调度中的Mapspan和流量时间之间的权衡

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Balancing trade-offs between production cost and holding cost is critical for production and operations management. Utilization of a production line affects production cost, which relates to makespan, and work-in-process (WIP) inventories in a production line affect holding cost, which relate to flowtime. There are trade-offs between two objectives, to minimize makespan and to minimize flowtime. Without addressing trade-off balancing issues in flow shop scheduling, WIP inventories are still high in manufacturing, generating unnecessary holding cost. However, utilization is coupled with WIP inventories. Low WIP inventory levels might lower utilization and generate high production cost. Most existing constructive heuristics focus only on single-objective optimization. In the current literature, the NEH heuristic proposed by Nawaz, Enscore, and Ham (1983) is the best constructive heuristic to minimize makespan, and the LR heuristic proposed by Liu and Reeves (2001) is the best to minimize flowtime. In this paper, we propose a current and future deviation (CFD) heuristic to balance trade-offs between makespan and flowtime minimizations. Based on 5400 randomly generated instances, 120 instances in Taillard’s benchmarks, and one-year historical records of operating room scheduling from University of Kentucky HealthCare (UKHC), our CFD heuristic outperforms the NEH and LR heuristics on trade-off balancing, and achieves the most stable performances from the perspective of statistical process control (SPC).
机译:平衡生产成本与持有成本之间的权衡对于生产和运营管理至关重要。生产线的利用影响生产成本,涉及生产线中的工程(WIP)库存影响,生产线影响持有费用,这与流动时间相关。两个目标之间有权衡,以最大限度地减少MakEspan并最大限度地减少流量时间。如果没有解决流量店调度中的权衡平衡问题,制造业的WIP库存仍然很高,产生不必要的持有费用。但是,利用率与WIP清单耦合。低WIP库存水平可能降低利用率并产生高生产成本。大多数现有的建设性启发式机构只关注单目标优化。在目前的文献中,Nawaz,Enscore和Ham(1983)提出的Neh启发式是最大限度地减少Makespan的最佳建设性启发式,而Liu和Reeves(2001)提出的LR启发式是最好的,最小化流动时间。在本文中,我们提出了一项当前和未来的偏差(CFD)启发式,以平衡MakEspan和流动时间最小化之间的权衡。基于5400个随机生成的实例,120个实例在Taillard的基准,以及肯塔基州大学医疗保健(UKHC)的运营室调度的一年历史记录,我们的差价合约型启发式优于诺赫和LR启发式对权衡平衡,并实现了从统计过程控制(SPC)的角度来看最稳定的表演。

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