Optimal Storage Rack Design for a 3d Compact As/Rs with Full Turnover-Based Storage

38 Pages Posted: 29 Jun 2006

See all articles by Yugang Yu

Yugang Yu

University of Science and Technology of China (USTC)

M. B. M. de Koster

Erasmus University Rotterdam (EUR) - Department of Technology and Operations Management

Date Written: June 19, 2006

Abstract

Compact, multi-deep (3D) automated storage and retrieval systems (AS/RS) are becoming increasingly popular for storing products with relatively low turnover on a compact area. An automated storage/retrieval crane takes care of movements in the horizontal and vertical direction in the rack, and a gravity conveying mechanism takes care of the depth movement. An important question is how to layout such systems to minimize the product storage and retrieval times. Although much attention has been paid to 2D AS/RS, multi-deep systems have hardly been studied. This paper studies the impact of system layout on crane travel time. We calculate the rack dimensions that minimize single-command cycle time under the full-turnover-based storage policy. We prove the expected travel time is minimized when the rack is square-in-time in horizontal and vertical directions and the conveyor’s dimension is the longest. We compare the model’s results with the performance of the random storage policy and show a significant crane travel time reduction can be obtained. We illustrate the findings of the study by applying them in a practical example.

Keywords: AS/RS, Warehousing, Order Picking, Storage Rack Design, Travel Time Model, Turnover-Based Storage

Suggested Citation

Yu, Yugang and de Koster, M.B.M. René, Optimal Storage Rack Design for a 3d Compact As/Rs with Full Turnover-Based Storage (June 19, 2006). ERIM Report Series Reference No. ERS-2006-026-LIS. Available at SSRN: https://ssrn.com/abstract=910661

Yugang Yu (Contact Author)

University of Science and Technology of China (USTC) ( email )

96, Jinzhai Road
Hefei, Anhui 230026
China

M.B.M. René De Koster

Erasmus University Rotterdam (EUR) - Department of Technology and Operations Management ( email )

RSM Erasmus University
PO Box 1738
3000 DR Rotterdam
Netherlands
+31 10 408 1719 (Phone)
+31 10 408 9014 (Fax)

HOME PAGE: http://www.rsm.nl/rdekoster

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