优化配送中心入站配送调度的创新方法

Curtis Ying, Michael Liebson
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引用次数: 0

摘要

如果配送中心(DC)能将进货配送均匀分布在一周内的各个日子里,使数量与收货能力相匹配,那么配送中心(DC)的运行效率就会更高。然而,交货日期通常是在下采购订单时安排的,没有一个有效的流程来平均分配交货,而且关于如何优化这一流程的研究也很少。本文将这一过程称为主采购收货调度(MPRS),并介绍了 New Horizon Soft, LLC 公司利用美国一家大型餐饮连锁店的数据开发的一种新型 MPRS 算法,该算法目前已在该连锁店投入使用。该方法优化了订单交付日期,同时考虑了供应商发货日历、发货规模和运输的不确定性。蒙特卡罗模拟的结果验证了该算法的有效性和稳健性。通过解决配送中心运营的复杂性,这项创新有望减少收货瓶颈,提高效率和产能利用率,并促进这一重要领域的更多研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Innovative Approach to Optimize Inbound Delivery Scheduling at Distribution Centers
Distribution centers (DCs) run more efficiently if their inbound deliveries are spread out evenly over the days of the week so that volume is aligned with receiving capacity. However, delivery dates are often scheduled at the time of placing purchase orders without an efficient process for spreading deliveries evenly, and there has been little research on how to optimally do this. This paper terms this process Master Purchase Receipt Scheduling (MPRS) and introduces a novel MPRS algorithm developed by New Horizon Soft, LLC using data from a major U.S. restaurant chain, where the algorithm is now in use. The approach optimizes order delivery dates, accounting for vendor shipping calendars, shipment sizes, and transportation uncertainty. Results from a Monte Carlo simulation validate the effectiveness and robustness of the algorithm. By addressing the complexities of DC operations, this innovation promises to reduce receiving bottlenecks, increase efficiency and capacity utilization, and foster additional research in this vital area.
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