Towards Standardized Manufacturing Event Logs for Process Mining using Open Manufacturing Model

The Open Manufacturing Model (OMM) provides a rich framework for representing manufacturing entities, processes, and resource interactions. While OMM has been proposed for semantic data integration in manufacturing contexts, its application as a native source for event log generation in process mining has received limited attention to date. This paper proposes a mapping between OMM constructs and key process mining attributes, including case identifiers, activities, timestamps, and resources. We introduce a mapping and describe an implementation capable of extracting XES-compliant event logs from OMM-aligned data sources. An illustrative case study in an operational manufacturing setting demonstrates the application of process discovery to the extracted logs. The results suggest that OMM supports standardized, reusable, and semantically enriched event logs, thereby enabling transparent and analyzable manufacturing process insights. These findings highlight the value of integrating standardized data models with process mining to support data-driven decision-making in industrial environments.