TY - CHAP U1 - Konferenzveröffentlichung A1 - Urru, Augusto A1 - Bonini, Marco A1 - Echelmeyer, Wolfgang T1 - Fleet-sizing of multi-load autonomous robots for material supply T2 - Proceedings of the 2018 IEEE International Conference on Service Operations and Logistics, and Informatics : 31 July - 2 August 2018, Singapore N2 - 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. KW - fleet-sizing KW - multi load KW - autonomous system KW - small load carriers KW - in-plant logistics Y1 - 2018 SN - 978-1-5386-4522-2 SB - 978-1-5386-4522-2 U6 - https://doi.org/10.1109/SOLI.2018.8476790 DO - https://doi.org/10.1109/SOLI.2018.8476790 SP - 244 EP - 249 S1 - 6 PB - IEEE CY - Piscataway, NJ ER -