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Drone-Based Material Transfer System in a Robotic Mobile Fulfillment Center

机译:机器人移动履行中心基于无人机的材料转移系统

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Deploying unmanned aerial vehicles, also known as drones, for final-mile delivery in logistics operations has inspired this research. One conceivable scenario is to use the drone to transfer jobs in a robotic mobile fulfillment center. Each job might be characterized by origin, destination, time window, and precedence relation. In particular, a take-away conveyor is continuously pushing forward shipping cartons, wherein drones must pick up jobs and drop them off to the cartons within the time window since the cartons would be closed and labeled at the end of the conveyor. Furthermore, each job contains two subtransfers for drone: flight from drone's current location to pickup location and flight to dropoff location. Two exact approaches are proposed-a mixed integer programming and a constraint programming-and tested for a real-time perspective. Note to Practitioners-Inspired by Amazon's significant expansion of its army of warehouse robots and the adaptation of drones for final-mile small parcel delivery, this article has mixed those two emerging technologies and proposed a drone-powered material transfer system in a warehouse, wherein jobs would be picked up by drone, transferred, and dropped off directly to shipping cartons. The most encouraging finding is that the proposed method impressively proved the optimality of 144 jobs with 10 drones that requires 28.8 transfers per drone on average, within 1 s.
机译:部署无人驾驶飞行器,也被称为无人机,在物流业务的最终英里交付启发了这项研究。一个可以想象的场景是使用无人机在机器人移动履行中心中转移作业。每个作业都可以以原产地,目标,时间窗口和优先关系为特征。特别地,取出输送机连续推动运输纸箱,其中无人机必须拿起工作并将它们掉落到时间窗口内,因为纸箱将在输送机的末端关闭并标记。此外,每个作业都包含两个用于无人机的子系统:从无人机的当前位置飞行到拾取位置和飞行到下降位置。提出了两种精确的方法 - 混合整数编程和约束编程 - 并测试实时的视角。注意到亚马逊的大量扩张它的仓库机器人的大量扩展和对最终英里小包裹交付的无人机的改编,这篇文章混合了这两种新兴技术,并提出了仓库中的无人驾驶能源材料转移系统,其中乔布斯将被无人机,转移,直接掉到运输纸箱上。最令人鼓舞的发现是,该方法令人印象深刻地证明了144个就业机会的最优性,其中10个无人机,平均需要平均每种无人机转移28.8个无人机。

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