Evaluating Dedicated and Shared Storage Policies in Robot-Based Compact Storage and Retrieval Systems

42 Pages Posted: 22 Dec 2016

See all articles by Bipan Zou

Bipan Zou

Huazhong University of Science and Technology (Formerly Tongi Medical University) - School of Management

M. B. M. de Koster

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

Xianhao Xu

Huazhong University of Science and Technology (Formerly Tongi Medical University) - School of Management

Date Written: December 21, 2016

Abstract

Robot-based compact storage and retrieval systems (RCSRS) have seen many implementations over the last few years. In such a system, the inventory items are stored in bins, organized in a grid. In each cell of the grid, a certain number of bins are stored on top of each other. Robots with transport and lifting capabilities move on the grid roof to transport bins between manual workstations and storage stacks. We estimate performance and evaluate storage policies of RCSRS, considering both dedicated and shared storage policies coupled with random and zoned storage stacks. Semi-open queueing networks (SOQNs) are built to estimate the system performance, which can handle both immediate and delayed reshuffling processes. We approximate the models by reduced SOQNs with two load-dependent service nodes and use the Matrix-Geometric Method (MGM) to solve them. Both simulations and a real case are used to validate the analytical models. Assuming a given number of stored products, our models can be used to optimize not only the length to width ratio of the system, but also the stack height, depending on the storage strategy used. For a given inventory and optimal system configuration, we demonstrate that the dedicated storage policy outperforms the shared storage policy in terms of dual command throughput time. However, from a cost perspective, with a maximum dual command throughput time as a constraint, we show that shared storage substantially outperforms dedicated storage. The annualized costs of dedicated storage are up to twice as large as those of shared storage, due to the larger number of storage positions required by dedicated storage and the relatively lower filling degree of storage stacks.

Keywords: Material handling, compact storage, robot technology, queueing networks, performance analysis

Suggested Citation

Zou, Bipan and de Koster, M.B.M. René and Xu, Xianhao, Evaluating Dedicated and Shared Storage Policies in Robot-Based Compact Storage and Retrieval Systems (December 21, 2016). ERIM Report Series Reference. Available at SSRN: https://ssrn.com/abstract=2888649

Bipan Zou

Huazhong University of Science and Technology (Formerly Tongi Medical University) - School of Management ( email )

1037 Luoyu Road
Wuhan, Hubei 430074
China

M.B.M. René De Koster (Contact Author)

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

Xianhao Xu

Huazhong University of Science and Technology (Formerly Tongi Medical University) - School of Management ( email )

1037 Luoyu Road
Wuhan, Hubei 430074
China

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