Abstract

This paper presents a method to determine the performance of shuttle-based storage and retrieval systems (SBS/RS) with tier captive single-aisle shuttles and multiple-deep storage. The basis of this calculation method is a continuous-time open queueing system with limited capacity. The cycle times of lifts and shuttles, determined by a spatial value approach, can be directly used in the presented method with their time distributions. To take the multiple storage into account, a probability-based approach is applied. The invented approach is validated by a comparison with a discrete event simulation. A European material handling provider had given the data used in this comparison. Finally, an example is presented to outline how this calculation model can be used for designing SBS/RS which fulfil the predefined requirements. The result of this example is that with an increase of the storage depth to a certain value, the throughput increases and the cost decreases up to the same storage depth.

Highlights

  • Technological developments in the global supply chain have increased the requirements for storage technology

  • Few analytical decision-making tools are available to evaluate the performance of an shuttle-based storage and retrieval systems (SBS/RS)

  • One uses an open queueing system with limited capacity to estimate the interactions between lifts and shuttles

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Summary

Introduction

Technological developments in the global supply chain have increased the requirements for storage technology. An important part of automated warehouses that meet these requirements are autonomous vehicle storage and retrieval systems (AVS/RS) These systems work with two different types of transporters. The aim of this paper is to provide a decision tool that accurately and quickly evaluates the throughput of SBS/RS with multiple-deep storage This leads to a possible use of the approach in the design process of new storage systems. Int J Adv Manuf Technol (2020) 107:859–873 different storage depths of the rack and the open queueing model with limited capacity are being focused on This approach takes the interactions between lifts and shuttles into account. The parameters for this numerical study are given by a European material handling provider.

Literature review
System description
Analytical approach
Interarrival time
Service time
Mean time needed to transfer the tote to and from the shuttle
Probability of relocation
Mean time needed in the relocation cycle
Numerical evaluation of the approximation quality
Numerical study
Optimization example
Findings
Conclusion

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