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Optimizing assembly line supply by integrating warehouse picking and forklift routing using simulation

机译:通过使用仿真集成仓库拣货和叉车路线来优化装配线供应

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The significance of system orientation in production and logistics optimization has often been neglected in the past. An isolated view on single activities may result in globally suboptimal performance. We consider a manufacturing process where assembly lines are supplied from a central logistics center. The different steps, such as storage, picking and transport of work-in-process materials to and from the assembly lines, strongly influence each other. For instance, if the picking process batches orders that need to be transported to the same target, a reduction of travel distances can be achieved. The individual problems are coupled and validated via simulation, which leads to more robust and applicable results in practice. We test our approach on a scenario based on real-world data from Rosenbauer, one of the world's largest suppliers of firefighting vehicles. Our results indicate that warehouse optimization can lead to a more efficient transport in an integrated problem formulation.
机译:过去常常忽略了系统定位在生产和物流优化中的重要性。对单个活动的孤立视图可能会导致整体性能欠佳。我们考虑从中央物流中心提供组装线的制造过程。不同的步骤(例如,在组装线之间进行存储,拾取和运输加工中的物料)相互之间会产生很大的影响。例如,如果拣配过程将需要运输的订单分批运送到同一目标,则可以减少行进距离。各个问题通过仿真进行耦合和验证,从而在实践中得出更可靠和适用的结果。我们基于来自全球最大的消防车供应商之一的罗森鲍尔的真实数据来测试我们的方法。我们的结果表明,仓库优化可以在集成问题表述中提高运输效率。

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