A comparison of nearest distance optimization and ant colony optimization for order picking in a multi-aisle warehouse
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Author (Corporation)
Publication date
2021
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Collections
Type
04B - Conference paper
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Parent work
ISMSI '21: Proceedings of the 2021 5th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence
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DOI of the original publication
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Issue / Number
Pages / Duration
1-6
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Publisher / Publishing institution
ACM
Place of publication / Event location
New York
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Abstract
Today, warehouses and the IT infrastructure behind them ensure smooth processing of customer orders throughout the day in all supply chains. These orders can consist of one item up to hundreds of items. The size and heterogeneity of warehouses also impedes the fastest possible processing of all orders. This research compares the nearest distance optimization heuristic and ant colony optimization to find out whether one or the other route leads to faster picking times in several scenarios depending on the warehouse size or the number of items on the picking list. For this purpose, we chose the widespread multi-aisle layout of a warehouse for our study assuming that only one human worker is involved in picking the items on the list.
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Subject (DDC)
Event
2021 5th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence (ISMSI 2021)
Exhibition start date
Exhibition end date
Conference start date
10.04.2021
Conference end date
11.04.2021
Date of the last check
ISBN
978-1-4503-8967-9
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Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
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Peer review of the complete publication
Open access category
Closed
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Citation
Bertini, L., Krause, K., Hanne, T., & Dornberger, R. (2021). A comparison of nearest distance optimization and ant colony optimization for order picking in a multi-aisle warehouse. ISMSI ’21: Proceedings of the 2021 5th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence, 1–6. https://doi.org/10.1145/3461598.3461599