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MULTI ECHELON GLOBAL NETWORK ANALYSIS

机译:多梯队全球网络分析

摘要

A method to define the most effective Hub for each item in a scenario with multiple data or item warehouses geographically separated based on a computational model, a simulation forecast algorithm and an optimization algorithm. The method maps the entire network and creates a computational model that best represents the process of delivering items over the network. A forecast demand is generated using each product historical demand. The forecast demand is included at the simulation forecast. The simulation results in the determination of the expected operational performance/effectiveness for a determinate period and selected hub for each item. Finally, an optimization is run to obtain the best Hub-item pair based on a function that maps the effectiveness of selected hubs for the distribution network.
机译:一种方法,用于根据计算模型,模拟预测算法和优化算法地理上分离的具有多个数据或项目仓库中的每个项目的每个项目的最有效集线器。该方法映射整个网络并创建一个最能代表在网络上传递项目的过程的计算模型。使用每个产品历史需求产生预测需求。预测需求包括在模拟预测中。模拟导致确定每个项目的确定期间和所选集线器的预期操作性能/有效性。最后,运行优化以基于映射用于分发网络所选集线器的有效性的函数来获得最佳的集线器项对。

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