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Integrating workload smoothing and inventory reduction in three intermodal logistics platforms of a European car manufacturer

机译:在一家欧洲汽车制造商的三个多式联运物流平台中整合了工作量平滑和库存减少的功能

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We consider the optimization of container loading at three intermodal logistics platforms (ILP) of a large European car manufacturer (ECM). The decisions focus both on the loading day of each container and on its filling with the products in inventory, which are gradually received over the week from inland suppliers. The objective is either to reduce the largest inventory level needed in the ILP, or to smooth the weekly workload. We develop a solution methodology that allows the handling of complex loading constraints related to dimensions and weight of the products. We model the problem as a mixed integer linear program and we develop a decomposition heuristic to solve it. We perform extensive computation tests on real instances provided by ECM. Compared with current industrial practices, our solutions yield an average improvement of 46.8% for the inventory reduction and of 25.8% for the smoothing of the workload. Our results highlight the benefit of jointly optimizing container loading and operations scheduling. (C) 2019 Elsevier Ltd. All rights reserved.
机译:我们考虑优化一家大型欧洲汽车制造商(ECM)的三个联运物流平台(ILP)的集装箱装载量。决定既着眼于每个集装箱的装货日,又着重于用库存产品填充集装箱,这些产品在一周内逐渐从内陆供应商那里收到。目的是减少ILP中所需的最大库存水平,或减轻每周的工作量。我们开发了一种解决方案方法,可以处理与产品尺寸和重量有关的复杂装载约束。我们将问题建模为混合整数线性程序,然后开发分解启发式算法来解决该问题。我们对ECM提供的真实实例进行广泛的计算测试。与当前的工业实践相比,我们的解决方案在库存减少方面平均提高了46.8%,在工作量减少方面平均提高了25.8%。我们的结果强调了共同优化集装箱装载和作业调度的好处。 (C)2019 Elsevier Ltd.保留所有权利。

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