Design optimization models for storage and retrieval systems using rail guided vehicles

Automated storage and retrieval system technology based on intelligent, rail guided vehicles has recently been introduced as an alternative to traditional designs based on aisle-captive storage cranes. Analytical models are proposed to assess the performance and cost effectiveness of rail guided sys...

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Bibliographic Details
Published in:Applied mathematical modelling 2003-12, Vol.27 (12), p.929-941
Main Author: Malmborg, Charles J.
Format: Article
Language:English
Subjects:
Automated storage and retrieval systems
Cost models
Cycle time
Dispatching
Guided vehicles
Interleaving
Storage cranes
Storage rack
Throughput
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Summary:Automated storage and retrieval system technology based on intelligent, rail guided vehicles has recently been introduced as an alternative to traditional designs based on aisle-captive storage cranes. Analytical models are proposed to assess the performance and cost effectiveness of rail guided systems based on key system design variables including the number, depth and height of storage aisles and the vehicle and lift fleet sizes. The models provide a basis for developing system profiles useful in the pre-engineering phases of system design and can be used in assessing the viability of rail guided systems as an alternative to traditional automated storage and retrieval systems. The models are demonstrated for cost and performance based design problems.
ISSN:0307-904X
DOI:10.1016/S0307-904X(03)00127-6