Abstract
Automated vehicle storage and retrieval systems (AVSRS) allow for a flexible and powerful way to supply picking or manufacturing areas based on the goods-to-person principle. AVSRS with tier- and aisle-captive vehicles achieve the highest throughput capacity which can be further increased by deploying more than one vehicle on each tier of an aisle. With these high-powered AVSRS, it is possible to compensate for the reduction of throughput capacity in multi-deep storage systems where relocation operations occur frequently and result in more transportation tasks. In this work, we present and compare different algorithms for efficiently accomplishing relocation operations in high-powered AVSRS. We conduct a series of simulation experiments to analyze the performance of these algorithms and evaluate the application of high-powered AVSRS in multi-deep storage.
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