Models for automated storage and retrieval systems: a literature review |
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Authors: | Jean-Philippe Gagliardi Angel Ruiz |
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Affiliation: | Interuniversity Research Center on Enterprise Networks, Logistics and Transportation (CIRRELT) and Faculté des Sciences de l’administration, Laval University , Canada G1V 0A6 |
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Abstract: | Automated Storage and Retrieval Systems (AS/RS) are warehousing systems that use mechanised devices to accomplish the repetitive tasks of storing and retrieving parts in racks. Since these systems represent a significant investment and considerable operating costs, their use must be as efficient as possible. AS/RS performance is the result of the interaction of many complex and stochastic subsystems. This reality creates a need for robust and efficient evaluation models. This article complements previous surveys on AS/RS by focusing on the particular research question addressed by each work and the associated assumptions used for the various models designed for evaluating AS/RS. Dynamic models based on simulation dominate the most recent literature; however, static approaches based on travel-time modelling have strongly contributed to the study of AS/RS. This review includes dynamic – simulation-based – models, but considers also steady-state (travel-time-based) models. We believe that this review may be of great help to researchers and industrial users in their search for the best modelling approach for a specific problem. |
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Keywords: | AS/RS warehousing systems warehouse design simulation |
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