Abstract
Robotic fulfillment systems are becoming commonplace at warehouses across the world. High-density, grid-based storage systems in particular, such as the AutoStore system, are being used in a variety of contexts, but very little literature exists to guide decision makers in picking the right policies for operating such a system. Storage policies can have a large effect on the efficiency and storage capacity of robotic fulfillment systems. We therefore introduce a discrete event simulation for grid-based storage and examine input storage policies under a couple of storage scenarios. Our simulation provides decision makers with an easy way of testing policies before implementing them in a real system, and shows that selecting the correct policy can lead to up to a 7% input performance improvement, and 60% better box utilization.
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Beckschäfer, M., Malberg, S., Tierney, K., Weskamp, C. (2017). Simulating Storage Policies for an Automated Grid-Based Warehouse System. In: Bektaş, T., Coniglio, S., Martinez-Sykora, A., Voß, S. (eds) Computational Logistics. ICCL 2017. Lecture Notes in Computer Science(), vol 10572. Springer, Cham. https://doi.org/10.1007/978-3-319-68496-3_31
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DOI: https://doi.org/10.1007/978-3-319-68496-3_31
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