TY - JOUR A1 - Selmair, Maximilian A1 - Maurer, Tobias A1 - Lai, Chun-Han A1 - Grant, David T1 - Enhancing the efficiency of charging & parking processes for Autonomous Mobile Robot fleets T2 - Journal of Power Sources N2 - The allocation of tasks to Autonomous Mobile Robots in a production setting in combination with the most efficient parking and charging processes are the focus of this paper. This study presents a simulative evaluation of the theoretical allocation methods developed in Selmair and Maurer (2020) combined with either hard or dynamic availability rules to ascertain the most efficient parameters of an Autonomous Mobile Robot System. In order to quantify this efficiency, the following Key Performance Indicator (KPI) were considered: number of delayed orders, driven fleet metres and the percentage of available Autonomous Mobile Robot as determined by their state of charge. Additionally, as an alternative energy source, a fast-charging battery developed by Battery Streak Inc. was included in this study. The results show that, in comparison to a conventional and commonly used trivial strategy, our developed strategies provide superior results in terms of the relevant KPI. KW - AMR KW - Autonomous Mobile Robot KW - Battery charging KW - Battery management systems KW - Benchmarking KW - Fleet operations KW - Mobile robots KW - NAVIGATION KW - Secondary batteries KW - Vehicle Fleet Charging Y1 - 2022 UR - https://opus4.kobv.de/opus4-oth-regensburg/frontdoor/index/index/docId/2661 VL - 521 IS - 3 PB - Elsevier ER -