However, in complex automotive production planning (e.g., Mercedes-Benz MO/E), the resulting Process Intelligence Graph remains largely descriptive: it answers "how much?" but not "why?". The goal is to design, prototype and evaluate a concept that links object-centric event data from Celonis with the version- and scenario-semantics from our software, enabling explainable, scenario-aware process intelligence in production planning. * How can this Semantic Layer be technically integrated with Celonis OCPM (e.g., via the Process Intelligence Graph, AI Annotation Builder, or external graph alignment) to enrich object-centric events with planning rationale? * Working knowledge of process mining concepts, ideally Object-Centric Process Mining (OCPM); prior exposure to Celonis EMS / Process Intelligence Graph is a strong plus
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