TeachingAssistant
Faculty of Technical Processes, Heilbronn University
Max-Planck-Str. 39
74081 Heilbronn
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Uploaded abstract link: Algorithms to optimize class-based storage of shuttle-based storage and retrieval systems__.pdf
Uploaded final paper link: Algorithms to optimize class-based storage of shuttle-based storage and retrieval systems__.pdf.
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Thomas Kriehn
Teaching Assistant
Faculty of Technical Processes, Heilbronn University
Franziska Schloz
Teaching Assistant
Institute of Mechanical Handling and Logistics, University of Stuttgart
Robert Schulz
Full Professor
Institute of Mechanical Handling and Logistics, University of Stuttgart
Markus Fittinghoff
Full Professor
Faculty of Technical Processes, Heilbronn University
Teaching Assistant
Faculty of Technical Processes, Heilbronn University
Franziska Schloz
Teaching Assistant
Institute of Mechanical Handling and Logistics, University of Stuttgart
Robert Schulz
Full Professor
Institute of Mechanical Handling and Logistics, University of Stuttgart
Markus Fittinghoff
Full Professor
Faculty of Technical Processes, Heilbronn University
Algorithm to optimize class-based storage of shuttle-based storage and retrieval systems
Compared to crane-based automatic storage and retrieval systems (AS/RS), shuttle based storage and retrieval systems (SBS/RS) can often achieve higher throughput and energy demand tends to be lower due to less mass movement. As a result, SBS/RS have become widely used in recent years. They can be found in distribution centers across all industries, but can also be found in warehouses for producing companys to supply the production process. A common application is a SBS/RS, which supplies subsequent picking stations via conveyors. The throughput of a SBS/RS can be increased by the storage management policy class-based storage. assigns totes to storage locations based on their frequency of requests. This leads to the definition of zones for classes of totes (or articles). This paper shows how zoning can be improved by an algorithm wich use troughput as optimization criterion.
