14th IMHRC Proceedings (Karlsruhe, Germany – 2016)
Document Type
Research Paper
Publication Date
2016
Abstract
This study explores the best warehouse design for an autonomous vehicle based storage and retrieval system (AVS/RS) minimizing average energy consumption per transaction and average cycle time per transaction, simultaneously. In the design concept, we consider, rack design in terms of number of bays, number of tiers, number of aisles; number of resources, namely number of autonomous vehicles and lifts and; velocity profiles of lifts and autonomous vehicles in the AVS/RS. We completed 1,296 number of experiments in simulation to obtain Pareto solutions representing the “average energy consumption per transaction” and “average cycle time per transaction” trade-offs based on designs which is a very useful visual tool in decision making. Different from the existing studies, we approach to the warehouse design problem of AVS/RSs from a multi-objective view as well as energy efficient view minimizing both electricity consumption and cycle time per transaction in the system.
Copyright
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Publication Title
Progress in Material Handling Research: 2016
ISBN
9781882780191
Recommended Citation
Yetkin Ekren, Banu and Lerher, Tone, "Energy and Cycle Time Efficient Warehouse Design for Autonomous Vehicle-based Storage and Retrieval System" (2016). 14th IMHRC Proceedings (Karlsruhe, Germany – 2016). 10.
https://digitalcommons.georgiasouthern.edu/pmhr_2016/10
Included in
Industrial Engineering Commons, Operational Research Commons, Operations and Supply Chain Management Commons
Comments
Paper 10