The thesis is embedded in the Versioned Planning initiative at Mercedes-Benz Mercedes-Benz Manufacturing Engineering (MO/ET). Object-Centric Process Mining (OCPM) in Celonis provides a powerful, quantitative view on planning processes — it reveals how often, how long, and in which variants activities are executed across multiple object types. 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 semantic context — which scenario, premise, milestone, or review order (Prüfauftrag) triggered a given planning iteration — is not natively captured in event logs. 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 ...
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