Simulation des Grenzdurchsatzes von Autostore-Systemen
DOI:
https://doi.org/10.2195/lj_proc_trost_de_202211_01Keywords:
AKL, DES, RCS/RS, Ware-zur-Person-Kommissionierung, automated small-parts warehouse, discrete eventsimulation, ebenengebundene Fahrzeuge, goods-to-person-picking, tier-captive autonomous vehicleAbstract
Robotbased compact storage and retrieval systems (RCS/RS) such as the Autostore-system are fully-automatic operated by robots from above. The goods are stored in plastic bins that are stacked on top of each other, applying the 'Last-In-First-Out' storage strategy within the stack. If containers located further down are required, the robots relocate them. In addition to the system parameters, there are numerous other factors, such as the number of used robots or picking stations, that influence the system behavior. With an event-discrete simulation in the Simio simulation program, insights into possible design variants and operating modes were gained. The number of robots has a large impact on the throughput of an Autostore-system.Downloads
Published
2022-11-02
How to Cite
Trost, P., Kartnig, G., & Eder, M. (2022). Simulation des Grenzdurchsatzes von Autostore-Systemen. Logistics Journal: Proceedings, (18). https://doi.org/10.2195/lj_proc_trost_de_202211_01
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