Performance estimation of a passing-crane automated storage and retrieval system

Wanying Amanda Chen, Yeming Gong () and René de Koster
Additional contact information
Wanying Amanda Chen: ZJSU - Zhejiang Gongshang University [Hangzhou]
Yeming Gong: EM - EMLyon Business School
René de Koster: Erasmus University Rotterdam

Post-Print from HAL

Abstract: Storage and retrieval automation has progressed rapidly. One such popular storage and retrieval system deploys two passing aisle-bound cranes. Each crane can access every location in the rack. To pass the other crane and prevent collision, each crane has to timely move the platform to an appropriate level and simultaneously rotate it. We develop a queuing model with preemptive-resume interrupted service to estimate the system response time (and hence throughput capacity) while considering two I/O point positions, random storage, and a crane assignment policy where all requests are shared between the cranes. The analytical models are validated with simulation based on the data from real cases. We find that a design with I/O points located in the middle of the rack will increase the interference, but it has a high relative throughput because of the reduced expected travel time. Compared with a system with one crane, a two-crane system has interference, but it can improve the system efficiency, especially in large systems with high job arrival rates. The model can be extended to other systems where multiple cranes are used in a single travel aisle with crane interference, e.g. passing cranes operating in a container stack lane.

Keywords: warehousing; Logistics; AI and logistics; AS/R system; passing cranes; queuing model with interruption; Analytical and simulation modelling; performance analysis (search for similar items in EconPapers)
Date: 2022-02-16
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Published in International Journal of Production Research, 2022, 60 (4), 1210-1230 p. ⟨10.1080/00207543.2020.1854886⟩

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-03188232

DOI: 10.1080/00207543.2020.1854886

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().