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Estimating Unloading Time at Cross Docking Centre by Using Fuzzy Logic

机译:用模糊逻辑估计跨码头中心的卸货时间

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Cross docking is an alternative technique of warehousing that aims on eliminating the storage cost by significantly reducing handling and storage of inventory. One of the decision levels that requires vital attention to ensure the smooth and effective operation at cross docking terminal is the truck scheduling policy. Prior to that, an assignment decision of truck to door need to be decided first, hence the sequence of truck can be organized. The common practice was to assign the truck based on the availability of dock door and estimates the time of unloading based on intuition or experience from past record. Thus far, no systematic approach was found in the literature to estimate truck?s unloading time. Paper on hand aims to tackle this issue by proposing a fuzzy logic approach to estimate truck?s unloading time at retail cross docking warehouse. Refers to three orderly stages introduced in the literature of fuzzy logic inference system, seven steps were implemented in this study. With the help of Matlab software, all the input and output variables were set in the Fuzzy Logic Toolbox. Results obtained were analyzed and compared with the actual data gathered from the selected cross docking warehouse. The finding in this study is significant for the scheduling policy in cross docking terminal specifically to coordinate the assignment process for truck to door. Methodology proposed can also be adopted in any traditional warehouses, distribution centre or container terminal.
机译:交叉对接是一种替代的仓储技术,旨在通过显着减少库存的处理和存储来消除存储成本。卡车调度策略是确保交叉停靠站顺利有效运行的决策重点之一。在此之前,首先需要确定卡车到门的分配决定,因此可以组织卡车的顺序。通常的做法是根据码头门的可用性来分配卡车,并根据直觉或过去的经验来估计卸载时间。迄今为止,在文献中没有找到系统的方法来估计卡车的卸载时间。本文旨在通过提出一种模糊逻辑方法来估计卡车在零售交叉对接仓库的卸货时间,以解决这个问题。参照模糊逻辑推理系统文献中介绍的三个有序阶段,本研究实现了七个步骤。借助Matlab软件,所有输入和输出变量都在Fuzzy Logic Toolbox中设置。对获得的结果进行分析,并与从选定的交叉对接仓库收集的实际数据进行比较。这项研究的发现对于跨码头的调度策略特别是协调卡车到门的分配过程具有重要意义。建议的方法也可以在任何传统的仓库,配送中心或集装箱码头中采用。

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