Celonis Execution Management System (EMS)
Leverage undiscovered potential in production with Celonis and exploit it every day.
Celonis Process Mining in Production
The Celonis EMS (Execution Management System) is a cloud-based system for process analysis and provides optimization recommendations. Based on process mining technology, end-to-end processes in the company are continuously analyzed and checked for weaknesses using artificial intelligence (AI). In addition, automation solutions support the process or perform steps automatically.
Process Mining provides a real-time X-ray 4.0 of production processes – a living, breathing, moving picture that reveals where inefficiencies are hidden. The actual as-is process is compared with the planned to-be process models to identify deviations that cause inefficiencies.
At the heart of process mining are event logs, or event logs. Event Logs structure the digital footprints in your processes and prepare them for the “X-ray” that Celonis provides.
Along this process twin created on event logs, various key figures can be collected and in-depth analyses can be performed. A new level of transparency is created. This enables a living system of key performance indicators along the entire value chain (end-to-end processes) and the systematic identification of optimization potential.
Furthermore, target and actual processes can be compared with each other (conformance checking). Deviations are automatically detected, quantified and highlighted.
Whitepaper: Celonis Process Mining in Production
Basics of Process Mining and Celonis
Use case: Digital lean management with process mining
Use case: Successful system transformation with process mining
Current trends, recommendations best practices
In 3 steps to the optimal production process
From measurement to knowledge to action
Measure
Know
Act
Measure
Current status: Process capacities are measured and execution gaps are identified by analyzing and visualizing the log file data. This initial step creates transparency in your processes and shows how they really work.
Know
Target state: Based on machine learning, Celonis automatically recommends measures to improve process behavior. For this purpose, it is shown which inefficiencies have the greatest influence on the defined KPIs (root cause analysis).
Act
Celonis supports the daily process execution. On the one hand, process steps can be automated (action flows). On the other hand, Celonis can send employees a recommendation about necessary activities (action engine).
Advantages of using Celonis EMS:
High level of transparency along the end-to-end processes
Simple data connection of complex, heterogeneous process landscapes
Potential for process optimization is tracked down to a very granular level
Provides data basis for other optimization activities (CIP, idea management, projects)
Volatile key figures become explainable through deep transparency
Process execution closer to the target process, supported by automation
Ready for the next step?
Learn more about transparent production with process mining and the agile approach for the digital transformation to the smart factory.
Chris Leinemann
Customer Solution Advisor