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An efficient order-picking route planning based on a fuzzy set method with a multiple-aisle in a distribution center

机译:一种基于模糊集合方法的高效拣选路线规划,在配送中心中具有多通道的模糊集方法

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In this paper, we propose a methodology based on the fuzzy set theory to solve the order-picking route planning problem with a multiple-aisle in a distribution center. Unlike traditional route planning strategies that only cope with quantitative data, fuzzy set-based methods provide proper mechanism for expressing planners' linguistic terms to determine the level of factors that affect the order-picking route planning. A proposed order-picking route planning procedure that applies the fuzzy logic and the fuzzy clustering algorithm is presented here. The objective aimed to achieve is to reduce the traveling distance and time of order picking on the dynamic and elaborate order fulfillment operations. An example is given to illustrate the proposed route planning procedure. It is our hope that the proposed fuzzy approaches from this study can assist order pickers to deal with both quantitative and linguistic factors in improving the overall performance of their order-picking operations.
机译:在本文中,我们提出了一种基于模糊集理论的方法,以解决分发中心中多相的秩序采摘路线规划问题。 与传统的路线规划策略不同,只应对定量数据,基于模糊的定型方法为表达规划者的语言术语提供了适当的机制,以确定影响秩序采摘路线规划的因素水平。 此处提出了一种应用模糊逻辑和模糊聚类算法的所提出的挑选路线规划程序。 旨在实现的目标是减少动态和精心挑战履行运营的行驶距离和拣选时间。 给出一个例子来说明所提出的路线规划过程。 我们希望从本研究中提出的模糊方法可以帮助拾取器来处理定量和语言因素,以提高其订单采摘业务的整体性能。

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