An efficient cycle time model for autonomous vehicle storage and retrieval systems

A computationally efficient cycle time model for conceptualizing autonomous vehicle storage and retrieval systems and comparing their performance with crane-based automated storage and retrieval systems is presented. The model is based on an iterative computational scheme exploiting random storage a...

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Bibliographic Details
Published in:International journal of production research 2008-06, Vol.46 (12), p.3167-3184
Main Authors: Fukunari, M., Malmborg, C. J.
Format: Article
Language:English
Subjects:
Applied sciences
Automated storage and retrieval systems
Automated storage retrieval systems
Autonomous vehicle storage and retrieval systems
Autonomous vehicles
Computer science
control theory
systems
Control theory. Systems
Exact sciences and technology
Inventory control, production control. Distribution
Operational research and scientific management
Operational research. Management science
Opportunistic interleaving
Queuing theory
Queuing theory. Traffic theory
Random storage
Robotics
Studies
Unit load storage and retrieval
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Summary:A computationally efficient cycle time model for conceptualizing autonomous vehicle storage and retrieval systems and comparing their performance with crane-based automated storage and retrieval systems is presented. The model is based on an iterative computational scheme exploiting random storage assumptions and queuing model approximations. Relative to earlier models, the procedure scales up efficiently for large problems thereby enabling more extensive search of a design solution space. Simulation based validation studies suggest that model accuracy is adequate for system conceptualization. The procedure is demonstrated using realistically sized sample problems.
ISSN:0020-7543
1366-588X
DOI:10.1080/00207540601118454