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BVNS Approach for the Order Processing in Parallel Picking Workstations

机译:并行拣选工作站订单处理的BVN方法

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The Order Processing in Parallel Picking Workstations is an optimization problem that can be found in the industry and is related to the order picking process in a warehouse. The objective of this problem is to minimize the number of movements of goods within a warehouse in order to fulfill the demand made by the customers. The goods are originally stored in containers in a storage location and need to be moved to a processing area. The processing area is composed of several identical workstations. We are particularly interested in minimizing the time needed to fulfill all demands, which corresponds to the highest number of container movements to any given workstation. This problem is NP-Hard since it is a generalization of the well-known Order Processing in Picking Workstations which is also known to be NP-Hard. In this paper, we provide a mathematical formulation for the problem and additionally, due to its hardness, we have also developed several heuristic procedures based on Variable Neighborhood Search, to tackle the problem. The proposed methods have been evaluated over different sets of instances.
机译:并行拣选工作站的订单处理是一个优化问题,可以在行业中找到,与仓库中的订单采摘过程有关。此问题的目的是最大限度地减少仓库内货物的移动次数,以满足客户所做的需求。货物最初存储在存储位置的容器中,并且需要移动到处理区域。处理区域由几个相同的工作站组成。我们特别感兴趣地最大限度地减少满足所有需求所需的时间,这对应于任何给定工作站的最高集装箱运动数。此问题是NP - 难以难以阐述挑选工作站中的众所周知的订单处理,这也已知为NP-HARD。在本文中,我们为问题提供了数学制定,另外,由于其硬度,我们还开发了基于可变邻域搜索的几种启发式程序,以解决问题。所提出的方法已经在不同的情况下进行了评估。

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