Manufacturing processes are increasingly driven by new product requirements, innovation, and cost efficiency. As a result, researchers are exploring new techniques and tools to optimize operational production planning. One such tool is backward-oriented discrete event simulation (SimBack), which has shown great potential in this field. However, the process of conducting numerous simulation runs required for backward simulation is often time and resource-intensive, which limits its efficiency. To address this challenge, this paper presents an approach for automated execution and evaluation of simulation experiments in the context of a backwardoriented discrete event simulation approach for scheduling and capacity planning. The authors demonstrate their approach using a simulation model of the Semiconductor Manufacturing Testbed 2020 (SMT2020).
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