Abstract
AbstractRobotic Compact Storage and Retrieval Systems (RCS/RS) offer numerous advantages, including high performance, scalability, and availability, which are essential for modern logistics and warehousing. However, information on the potential performance of RCS/RS is limited, primarily due to the diverse range of configurations available. This paper aims to address this gap by developing an analytical approach to predict the throughput of an RCS/RS with multiple robots serving several picking stations. The approach considers various parameters such as grid size, stack height, number of robots, and filling degree, alongside kinematic data. The cycle time for each robot is calculated assuming a uniform distribution of container stacks. Subsequently, a queueing system with limited capacity is constructed using performance data from a single robot. The analytical approach is validated using a discrete event simulation model of an RCS/RS. Following the validation, an extensive parameter variation and application example are conducted to demonstrate the versatility of the approach. This method offers a straightforward and efficient set of formulas for determining RCS/RS throughput, easily solvable using standard table or algebra programs.
Publisher
Springer Science and Business Media LLC
Reference31 articles.
1. AutoStore. Last visited: 04 Jul 2024. Online. Available from: https://de.autostoresystem.com
2. Beckschaefer 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. vol. Computational Logistics: 8th International Conference, ICCL 2017. Southampton, UK,: Springer International Publishing, pp 468–482. Available from: https://link.springer.com/chapter/10.1007/978-3-319-68496-3_31#citeas
3. Galka S, Scherbarth C (2021) Simulationsbasierte Untersuchung der Grenzproduktivität von Robotern in einem AutoStore-Lagersystem. In: Franke J, Schuderer P (eds) Simulation in Produktion und Logistik 2021: Erlangen, 15.-17. September 2021. Cuvillier Verlag. vol. Proceedings of the ASIM Fachtagung Simulation in Produktion und Logistik of 2021. ASIM. Goettingen: Cuvillier Verlag, pp 197–206
4. Chen X, Yang P, Shao Z (2022) Simulation-based time-efficient and energy-efficient performance analysis of an overhead robotic compact storage and retrieval system. Simul Modell Pract Theory 119:102560. https://doi.org/10.1016/j.simpat.2022.102560
5. Trost P, Karting G, Eder M (2023) Simulation study of RCS/R-systems with several robots serving one picking station. FME Trans 51(2):201–210. https://doi.org/10.5937/fme2302201t