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Research on the task assignment problem of warehouse robots in the smart warehouse

机译:智能仓库中仓库机器人的任务分配问题研究

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The task assignment problem of warehouse robots in the smart warehouse (TAWRSW) based on cargo-to-person is investigated. Firstly, the sites of warehouse robots and the order picking tasks are given, and the task assignment problem for picking one order is formulated into a mathematical model to minimize the total operation cost. Then a heuristic algorithm is designed to solve the task assignment problem for picking multiple orders. Finally, simulations are done by using the orders data of online bookstore A. The feasibility and validity of the model and algorithm are verified. The model and algorithm in this paper provide a theoretical basis to solve the TAWRSW.
机译:研究了基于货物到人的智能仓库(TAWRSW)中仓库机器人的任务分配问题。首先,给出了仓库机器人的位置和订单拣选任务,并将一个订单的拣选任务分配到一个数学模型中,以最大程度地降低总运营成本。然后设计了一种启发式算法来解决多订单拣货的任务分配问题。最后,利用网上书店A的订单数据进行了仿真。验证了该模型和算法的可行性和有效性。本文的模型和算法为解决TAWRSW问题提供了理论依据。

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