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Analysis of pickup/deposit stations and dwell point locations in bi-directional flow-rack AS/RSs
Journal article   Peer reviewed

Analysis of pickup/deposit stations and dwell point locations in bi-directional flow-rack AS/RSs

Tian Liu, Yeming Gong and Bipan Zou
International Journal of Production Research, Vol.60(20), pp.6248-6267
01/10/2022

Abstract

Automated warehouses AS/RS bi-directional flow-rack AS/RS pickup/deposit station dwell point location performance analysis
A traditional flow-rack automated storage and retrieval system stores unit-loads in storage lanes with the same slope. This paper considers a new bi-directional flow-rack automated storage and retrieval system, in which adjacent storage lanes slope to opposite directions. While such a system can conduct a dual-command cycle, it is critical to operate the system in an efficient way. We focus on both the pickup/deposit (P/D) station policy and the dwell point location policy, considering two scenarios for each policy. We first build a single-command and a dual-command travel time models for each examined P/D station policy and dwell point location policy. Then, we validate the accuracy of the analytical models by simulation, and theoretically compare the examined P/D point policies and dwell point location policies, in terms of both single-command and dual-command cycle times. We find that locating both the P/D station and the dwell point location at the midpoint of the rack is the best policy. We prove the advantage of the BFR AS/RSs over the traditional flow-rack AS/RSs in terms of single-command cycle time, and that of the dual-command cycle over the single-command cycle. Two case studies are also conducted to examine the effectiveness of the examined policies.
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GONG 2022 IJPR Analysis of pickup deposit stations and dwell point locations in bi directional flow rack AS RSs
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Collaboration types
Domestic collaboration
International collaboration
Citation topics
4 Electrical Engineering, Electronics & Computer Science
4.84 Supply Chain & Logistics
4.84.2450 Warehouse Optimization
Web of Science research areas
Engineering, Industrial
Engineering, Manufacturing
Operations Research & Management Science
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