Additive Manufacturing is on the brink of industrialization. In addition to the technical aspect, the aspect ofproduction planning and optimization is continuously gaining importance with the technology beingintroduced into production environments. In order to allow a production logistics positioning for a productionenvironment equipped with Laser Powder Bed Fusion machines, a simulation model has been developed atthe RWTH Aachen University Chair for Digital Additive Production DAP. By means of this simulationmodel, production logistics key performance indicators (KPIs) such as the utilization are calculated as afunction of nine parameters describing the production environment. To demonstrate the validity of thesimulation model and allow a better understanding of its behaviour, the influence of each input on theutilization is investigated. In this study, a Global Sensitivity Analysis (GSA) based on the Monte Carlomethod is performed to quantify the importance of the parameters. For this purpose, a Variance BasedSensitivity Analysis (VBSA) is conducted, followed by a Regional Sensitivity Analysis (RSA), and a GSAbased on the PAWN method, allowing to perform all three settings of GSA, namely Factor Prioritization,Factor Fixing, and Factor Mapping. Finally, the knowledge brought by the sensitivity analysis allows for auser-friendly simplification of the production environment model, thus permitting a prioritized increase ofthe utilization.