As we approach the 4th industrial revolution, numerous manufacturing companies are embracing Industrial Internet of Things (IIoT) and Manufacturing Execution Systems (MES). This entails connecting physical devices, such as sensors, actuators, and machinery, to the internet to gather and exchange real-time data. MES systems are utilized to oversee, control, and optimize production processes on the shop floor, while IIoT devices collect and transmit data from various equipment and sensors instantly.
Process Mining aligns well with both MES and IIoT technologies. Data from these systems includes information related to production orders, machine utilization, material flow, and quality control. Process Mining enables the extraction of maximum value from these systems by facilitating as-is process visualization, root-cause analysis, simulations, and equipment orchestration. Process Mining insights based on the data from operational machinery not only reveal performance KPIs but also aid in understanding the underlying reasons of inefficiencies.
From our experience, one of critical aspects is managing incidents that can lead to decreased productivity. In the event of an outage, some incidents may result in underproduction, while others could be mitigated through intermediate storages. Process Mining enables:
The collaboration between Process Mining and systems like IIoT and MES is essential for maintaining a competitive advantage and ensuring that technology effectively supports business objectives. Let's collaborate, share experiences, and together shape the future of intelligent and technological production!
