Fleet-sizing of multi-load autonomous robots for material supply
- Latest advancements in new technologies have made it possible to fully automate the in-plant material flow of small load carriers between the warehouse and the production or assembly line. However, none of methods available in literature fully addresses the planning and dimensioning problem of a logistic system based on these new autonomous technologies. This paper is set to present a method to estimate the fleet size of the new logistic system. After an overview on the state of the art, the method based on combinatorics and probability theory will be explained. A short discussion and suggestions for forthcoming research will conclude the paper.
| Author of HS Reutlingen | Urru, Augusto; Bonini, Marco; Echelmeyer, Wolfgang |
|---|---|
| DOI: | https://doi.org/10.1109/SOLI.2018.8476790 |
| ISBN: | 978-1-5386-4522-2 |
| Erschienen in: | Proceedings of the 2018 IEEE International Conference on Service Operations and Logistics, and Informatics : 31 July - 2 August 2018, Singapore |
| Publisher: | IEEE |
| Place of publication: | Piscataway, NJ |
| Document Type: | Conference proceeding |
| Language: | English |
| Publication year: | 2018 |
| Tag: | autonomous system; fleet-sizing; in-plant logistics; multi load; small load carriers |
| Page Number: | 6 |
| First Page: | 244 |
| Last Page: | 249 |
| DDC classes: | 330 Wirtschaft |
| Open access?: | Nein |
| Licence (German): |  In Copyright - Urheberrechtlich geschützt |
