2015
DOI: 10.1080/00207543.2015.1106604
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Travel-time models and fill-grade factor analysis for double-deep multi-aisle AS/RSs

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Cited by 14 publications
(6 citation statements)
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“…Other rearrangement rules include rearranging to a random location and rearranging to a deterministic point. The rearrangement to the nearest location rule performs the best in terms of expected rearrangement time (Xu et al, 2016). In a flow-rack AS/RS, unit-loads are stored on the flow racks' storage face, and slided down to the retrieval face where the retrieving process is processed.…”
Section: Blocking Rearrangement and Conflict-free Routingmentioning
confidence: 99%
“…Other rearrangement rules include rearranging to a random location and rearranging to a deterministic point. The rearrangement to the nearest location rule performs the best in terms of expected rearrangement time (Xu et al, 2016). In a flow-rack AS/RS, unit-loads are stored on the flow racks' storage face, and slided down to the retrieval face where the retrieving process is processed.…”
Section: Blocking Rearrangement and Conflict-free Routingmentioning
confidence: 99%
“…Studying similar AS/RS, Xu [35] proposed a double-deep and multi-aisle automatic storage system. The system is based on a random storage strategy and rearrangement of blocking loads.…”
Section: Scheduling Commandsmentioning
confidence: 99%
“…Xu et al [4] used the single-shuttle as the benchmark model to analyze the improvement of the dual-shuttle and developed a "quadruple command" analytical model to evaluate the system efficiency. According to three different rearrangement rules, Xu et al [21] proposed cycle time models under singleand dual-command. Their study also illustrated the relationship between the fill-grade factor and the total cost.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Based on [21,22], the expected value of the rearrangement operation distances of the DMSWS can be calculated by Equation 12:…”
mentioning
confidence: 99%