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Design of the Federal Express large package sort facility

机译:联邦快递大型包裹分拣设施的设计

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In this paper, two mixed integer programming models, the Aggregate Bin Assignment Model (ABAM) and Aggregate Rack Assignment Model (ARAM), are developed for the analysis of possible large package sort facility designs for Federal Express Corporation. Applying the ABAM and RAM algorithm on the current topological design of the sort facility reduces the number of forklifts and total forklift travel time for accomplishing the sort by about 20%. Tests on 16 other configurations proposed by Federal Express indicated that savings of 33% with respect to the number of forklifts required and over 50% in the total forklift travel time when compared to the existing operations can be achieved.
机译:在本文中,开发了两种混合整数编程模型,即总箱分配模型(ABAM)和总机架分配模型(ARAM),用于分析联邦快递公司可能进行的大包装分拣设施设计。在分类设施的当前拓扑设计中应用ABAM和RAM算法可将完成分类的叉车数量和总叉车行驶时间减少约20%。通过联邦快递提议的其他16种配置的测试表明,与现有操作相比,可将所需的叉车数量节省33%,将叉车总行驶时间节省50%以上。

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