Exploring the Relationship between Business Processes and Contextual Information in Manufacturing and Logistics Based on Event Logs

Abstract Business processes in manufacturing and logistics are becoming more complex and change more frequently at the same time. These changes are driven by process evolution and unexpected changes. Therefore, business process documentations need continual updates. Recent works in process mining highlight the relevance of context information during automated process model creation. Our objective is to discover situational context information that affects the execution of a business process by determining the process lead time. Nave Bayesian is used for context reasoning to uncover and analyze the relationship between a particular process and its context information. We illustrate our approach with real-world event logs from manufacturing companies