Abstract
In today's competitive manufacturing landscape, optimizing operational efficiency, enhancing product quality, and minimizing costs are critical challenges faced by industries. Process mining has emerged as a transformative analytical tool that leverages event logs from Manufacturing Execution Systems (MES) to provide deep insights into manufacturing processes. This paper explores the comprehensive application of process mining in test station workflows, focusing on its ability to visualize operational flows, identify inefficiencies, and enable data-driven decision-making. Key areas of application include operational flow discovery, audit station flow mapping, cycle time distribution analysis, anomaly detection, and supply chain visualization. By employing process mining techniques, manufacturers can uncover bottlenecks, streamline workflows, and ensure adherence to compliance standards. Furthermore, this study delves into the use of process mining for yield monitoring and defect analysis, highlighting its potential to improve throughput, reduce production waste, and achieve consistency in process execution across multiple factory lines. The practical implications are demonstrated through use cases such as field escalation resolution, compliance auditing, and process commonality assessments, underscoring the value of process mining as a tool for continuous improvement. The findings of this research provide a framework for leveraging process mining to achieve a competitive edge in manufacturing by integrating real-time data insights, enhancing decision-making processes, and fostering innovation in operational strategies. This paper concludes by outlining the transformative impact of process mining on manufacturing efficiency and product quality, paving the way for future advancements in smart factory technologies.