Sequencing approaches for multiple-aisle automated storage and retrieval systems |
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Authors: | Jean-Philippe Gagliardi Angel Ruiz |
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Affiliation: | 1. Faculté des Sciences de l’administration, Université Laval, Québec, Canada;2. Interuniversity Research Center on Enterprise Networks, Logistics and Transportation (CIRRELT), Québec, Canada |
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Abstract: | Automated storage and retrieval systems (AS/RS) are used in high velocity distribution centres to provide accurate and fast order processing. While almost every industrial system is comprised of many aisles, most of the academic research on the operational aspects of AS/RS is devoted to single-aisle systems, probably due to the broadly accepted hypothesis proposing that an m aisles system can be modelled as m 1-aisle independent systems. In this article, we present two multi-aisles sequencing approaches and evaluate their performance when all the aisles are managed independently first, and then in a global manner. Computational experiments conducted on a multi-aisle AS/RS simulation model clearly demonstrate that a multi-aisle system cannot be accurately represented by multiple single-aisle systems. The numerical results demonstrate that, when dealing with random storage, globally sequencing multi-aisle AS/RS leads to makespan reductions ranging from 14 to 29% for 2- and 3-aisle systems, respectively. |
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Keywords: | automated storage and retrieval systems multi-aisle sequencing simulation |
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