Trost, P., Eder, M., & Kartnig, G. (2024). Shuttle-based or robotic compact storage and retrieval system? In G. Kartnig, N. Zrnic, & Bošnjak Srđan (Eds.), MHCL 2024 (pp. 155–158). TU Wien, Faculty of Mechanical and Industrial Engineering, Institute of Engineering Design and Product Development. https://doi.org/10.34726/7139
E307-01-1 - Forschungsgruppe Konstruktionslehre und Fördertechnik
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Erschienen in:
MHCL 2024
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ISBN:
978-3-200-10036-7
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Datum (veröffentlicht):
19-Jan-2024
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Veranstaltungsname:
XXV International Conference on Material Handling, Constructions and Logistics (MHCL 2024)
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Veranstaltungszeitraum:
18-Sep-2024 - 19-Sep-2024
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Veranstaltungsort:
Wien, Österreich
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Umfang:
4
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Verlag:
TU Wien, Faculty of Mechanical and Industrial Engineering, Institute of Engineering Design and Product Development, Wien
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Keywords:
SBS/RS; RCS/RS; Warehousing; Automated Storage Systems; Material Handling; Cycle time models; Queueing theory
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Abstract:
This study investigates and compares the performance of shuttle-based storage and retrieval (SBS/RS) and robotic compact storage and retrieval systems (RCS/RS). SBS/RS, featuring lifts and shuttles, excel in high-speed storage and retrieval, achieving significant throughput efficiencies, particularly in high-demand scenarios. In contrast, RCS/RS enable high storage densities. The performance evaluation is based on existing analytical models, which integrate cycle time models and queueing theory. Results indicate that SBS/RS outperforms RCS/RS, particularly in smaller systems. However, with a low number of vehicles, RCS/RS demonstrates superior performance. These insights assist in selecting the appropriate system based on specific operational requirements.
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Forschungsschwerpunkte:
Mathematical and Algorithmic Foundations: 20% Modeling and Simulation: 70% Computational System Design: 10%
