Network Mode Optimization for the DHL Supply Chain

Yibo Dang, Manjeet Singh, T. Allen
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引用次数: 4

Abstract

DHL Supply Chain North America moves more than 20 million packages each year. DHL transportation planners perform routing and cost-deduction tasks for many business projects. We refer to the associated planning problem as the Vehicle Routing Problem with Time Regulations and Common Carriers (VRPTRCC). Unlike ordinary vehicle routing problems, which use only a single type of transportation mode, our VRPTRCC applications include make–buy decisions because some of the package deliveries are ultimately subcontracted to organizations other than DHL. Time regulation means that the problem considers not only delivery-time windows, but also layover and driving-time restrictions. Our developed Network Mode Optimization Tool (NMOT) is an ant-colony optimization (ACO)-based program that aids DHL Supply Chain transportation analysts in identifying cost savings in the ground logistic network. By using the NMOT, DHL and its customers have saved millions of dollars annually. Also, the NMOT is helping DHL to win new customers against bidding competitors and reducing estimation times from multiple weeks to hours. The results show an actual increase in profits compared with the previous process by more than 15% through a combination of new projects enabled and reduced current operational costs. The NMOT is implemented and evaluated by using data from ongoing projects.
DHL供应链的网络模式优化
DHL北美供应链每年运送超过2000万件包裹。DHL运输计划人员为许多商业项目执行路线和成本削减任务。我们将相关的规划问题称为有时间规则和公共承运人的车辆路径问题(VRPTRCC)。与仅使用单一运输模式的普通车辆路线问题不同,我们的VRPTRCC应用程序包含了制造-购买决策,因为一些包裹交付最终分包给了DHL以外的组织。时间调节是指问题不仅要考虑交货时间窗口,还要考虑中途停留和行驶时间的限制。我们开发的网络模式优化工具(NMOT)是一个基于蚁群优化(ACO)的程序,可帮助DHL供应链运输分析师确定地面物流网络的成本节约。通过使用NMOT, DHL及其客户每年节省了数百万美元。此外,NMOT正在帮助DHL从竞标竞争对手那里赢得新客户,并将评估时间从几周缩短到几小时。结果显示,与之前的流程相比,通过新项目的启用和当前运营成本的降低,实际利润增加了15%以上。NMOT通过使用正在进行的项目的数据来实施和评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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