In the era of rapid technological advancement and the transition to Industry 4.0, autonomous
mobile robots (AMRs) are becoming a pivotal part of automating logistical processes. AMRs
offer flexibility and adaptability, being able to adjust to dynamic changes without significant
structural interventions. In this master's thesis, we focus on determining the optimal number
of AMRs for covering the logistical needs in a company's production environment. Through
simulation, it is analyzed how many processes a single AMR can cover and how many are
needed for the comprehensive coverage of all logistical operations. The simulation is based
on real parameters and production requirements. The results of this study provide valuable
insights for optimizing logistical operations and potential further integration of autonomous
mobile robots.
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