A Deep Learning Approach to Minimize Retrieval Time in Shuttle-Based Storage Systems

Paul Courtin; Paul Courtin; Jean-Baptiste Fasquel; Mehdi Lhommeau; Axel Grimault

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Paper

A Deep Learning Approach to Minimize Retrieval Time in Shuttle-Based Storage Systems

Topics: Deep Learning; Industrial Applications of AI; Machine Learning; Neural Networks

In Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART, 1040-1047, 2025 , Porto, Portugal

Authors: Paul Courtin ^{1

;

2} ; Jean-Baptiste Fasquel ¹ ; Mehdi Lhommeau ¹ and Axel Grimault ¹

Affiliations: ¹ Université d’Angers, LARIS, SFR MASTIC, 62 Av. de Notre Dame du Lac, 49000 Angers, France ; ² Knapp France, 3 Cours de la Gondoire, Carré Haussmann Marne La Vallée, Bâtiment A, 77600 Jossigny, France

Keyword(s): Automated Warehouse, Machine Learning, Deep Learning, SBS/RS, Allocation, Optimization.

Abstract: Improvement of picking performances in automated warehouse is influenced by the assignment of articles to storage locations. This problem is known as the Storage Location Assignment Problem (SLAP). In this paper, we present a deep learning method to assign articles to storage locations inside a shuttles-based storage and retrieval system (SBS/RS). We introduce the architecture of our a LSTM-based model and the public dataset used. Finally, we compare the retrieval time of articles provided by our model against other allocation methods.

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Paper citation in several formats:

Courtin, P., Fasquel, J.-B., Lhommeau, M. and Grimault, A. (2025). A Deep Learning Approach to Minimize Retrieval Time in Shuttle-Based Storage Systems. In Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART; ISBN 978-989-758-737-5; ISSN 2184-433X, SciTePress, pages 1040-1047. DOI: 10.5220/0013255300003890

@conference{icaart25,
author={Paul Courtin and Jean{-}Baptiste Fasquel and Mehdi Lhommeau and Axel Grimault},
title={A Deep Learning Approach to Minimize Retrieval Time in Shuttle-Based Storage Systems},
booktitle={Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART},
year={2025},
pages={1040-1047},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013255300003890},
isbn={978-989-758-737-5},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART
TI - A Deep Learning Approach to Minimize Retrieval Time in Shuttle-Based Storage Systems
SN - 978-989-758-737-5
IS - 2184-433X
AU - Courtin, P.
AU - Fasquel, J.
AU - Lhommeau, M.
AU - Grimault, A.
PY - 2025
SP - 1040
EP - 1047
DO - 10.5220/0013255300003890
PB - SciTePress