Title
Analytical models for an automated storage and retrieval system with multiple in-the-aisle pick positions
Abbreviated Journal Title
J. Manuf. Sci. Eng.-Trans. ASME
Keywords
AS/RS; travel-time models; multiple I/O points; TRAVEL-TIME MODELS; OPTIMAL DWELL POINT; WAREHOUSING SYSTEMS; ORDER; PICKING; STORAGE/RETRIEVAL SYSTEMS; ASSIGNMENT POLICIES; PERFORMANCE; SIMULATION; DESIGN; ALGORITHMS; Engineering, Industrial; Operations Research & Management Science
Abstract
An automated storage and retrieval system with multiple in-the-aisle pick positions (MIAPP-AS/RS) is a case-level order fulfillment technology that enables order picking via multiple pick positions (outputs) located in the aisle. This article develops expected travel time models for different operating policies and different physical configurations. These models can be used to analyze MIAPP-AS/RS throughput performance during peak and non-peak hours. Moreover, closed-form approximations are derived for the case of an infinite number of pick positions, which enable the optimal shape configuration that minimizes expected travel times to be derived. The expected travel time models are compared with a simulation model of a discrete rack, and the results validate that the proposed models provide good estimates. Finally, a numerical experiment is conducted to illustrate the trade-offs between performance of operating policies and design configurations. It is found that MIAPP-AS/RS with a dual picking floor and input point is a robust configuration due to the single command operating policy having a comparable throughput performance to a dual-command operating policy.
Subjects
F. Ramtin;J. A. Pazour
Volume
46
Issue/Number
9
Publication Date
1-1-2014
Document Type
Article
Language
English
First Page
968
Last Page
986
WOS Identifier
ISSN
0740-817X
Recommended Citation
"Analytical models for an automated storage and retrieval system with multiple in-the-aisle pick positions" (2014). Faculty Bibliography 2010s. 5657.
https://stars.library.ucf.edu/facultybib2010/5657
Comments
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