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Integer Programming Scheduling Model for Tier-to-Tier Shuttle-Based Storage and Retrieval Systems

机译:基于层班车的存储和检索系统的整数编程调度模型

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Shuttle-based storage and retrieval systems (SBS/RSs), a new type of “part-to-picker” system, have attracted public attention because of their flexibility and robustness. The systems consist of two sub-systems—shuttles and lifts—which are responsible for horizontal movements and vertical movements, respectively. SBS/RSs are categorized into tier-to-tier shuttles and tier-captive shuttles. This paper mainly researches SBS/RSs with tier-to-tier shuttles. New challenges have emerged since the commercial simulation-based optimization software has become widely applied for, for instance, task scheduling problems. Specifically, to decrease the idle time of lifts and the waiting time of shuttles, an integer programming scheduling model is proposed to minimize total task time with constraints on orders and devices. The Gurobi linear programming solver was utilized to obtain the optimal order sequence and the shortest operation time. The overall system efficiency was improved using our model. Moreover, the results are significant for reducing capital investment and operating cost.
机译:基于航天飞机的存储和检索系统(SBS / RS)是一种新型的“从零件选择器”系统,由于其灵活性和鲁棒性而引起了公众的关注。该系统由两个子系统组成,分别是班车和升降机,分别负责水平运动和垂直运动。 SBS / RS分为分级穿梭和固定式穿梭。本文主要研究具有层到层穿梭的SBS / RS。自从基于商业仿真的优化软件已广泛应用于例如任务调度问题以来,就出现了新的挑战。具体来说,为了减少升降机的空闲时间和穿梭车的等待时间,提出了一种整数编程调度模型,以使总任务时间最小化,并限制订单和设备。利用Gurobi线性规划求解器来获得最佳订购顺序和最短操作时间。使用我们的模型可以提高整体系统效率。而且,结果对于减少资本投资和运营成本具有重要意义。

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