Graph-based solution for performance evaluation of shuttle-based storage and retrieval system
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Date
2017
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
TAYLOR & FRANCIS LTD
Open Access Color
Green Open Access
Yes
OpenAIRE Downloads
0
OpenAIRE Views
7
Publicly Funded
No
Abstract
The aim of this study is to provide a graph-based solution for performance evaluation of a new autonomous vehicle-based storage and retrieval system shuttle-based storage and retrieval system (SBS/RS) under various design concepts. By the graph-based solution it is aimed the decision-maker (i.e. warehouse manager) evaluates a pre-defined system's performance promptly and decides on the correct design concept based on his/her requirements from thousands of alternative design scenarios of SBS/RS. The design concepts include number of bays (NoB) aisles (NoA) and tiers (NoT) for the rack design and arrival rate of storage/retrieval (S/R) transactions to an aisle of the warehouse (AR). The performance of the system is evaluated in terms of average utilisation of lifts and average cycle time of S/R transactions. Simulation is utilised for the modelling purpose. Seven NoT seven NoB and six AR scenarios are considered in the experiments. Hence 294 experiments are completed to obtain the graphs. By this study to the best of our knowledge it is the first time a graph-based solution including comprehensive design concepts of SBS/RS is presented.
Description
ORCID
Keywords
automated storage, SBS/RS, AS/RS, automated handling, materials handling, simulation, AUTONOMOUS VEHICLE STORAGE, AUTOMATED STORAGE, TIME MODEL, DESIGN, TECHNOLOGY, Automated Storage, Materials Handling, SBS/RS, AS/RS, Automated Handling, Simulation
Fields of Science
0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Citation
WoS Q
Scopus Q

OpenCitations Citation Count
44
Source
International Journal of Production Research
Volume
55
Issue
21
Start Page
6516
End Page
6526
PlumX Metrics
Citations
CrossRef : 14
Scopus : 52
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Mendeley Readers : 37
SCOPUS™ Citations
52
checked on Apr 08, 2026
Web of Science™ Citations
49
checked on Apr 08, 2026
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