Understanding and improving complex value streams.
The process analysis uses the events detected in the production analysis and automatically reconstructs the actual production sequence. On an interactive process graph, you can see in seconds which routes a part has taken, how often it has passed through a station again and which variants exist. Transport times, for example between processing and assembly stations, are also visible.
In short: With process analysis, you have a powerful tool for uncovering cross-system potential that remains hidden with conventional evaluations.
Advanced algorithms for maximum transparency.
A process mining algorithm specializing in control events groups all events by workpiece or batch, sorts them chronologically and generates a process network from them. This network shows each station as a node and each real path as an edge - including frequency and throughput time. Repeated loops (rework), rare special paths or aborted flows are immediately apparent. Users filter by time period, product or shift and compare variants against the defined target.
Challenges addressed
Multiple runs
Frequently repeated rework processes extend throughput times and tie up capacities.
Non-transparent process variants
Difficult quality control and little insight into recurring problems.
Assumptions instead of data
Measurable advantages
- Real-time view of actual processes reveals deviations from the target immediately.
- Visualized variants make frequently recurring problems visible.
- Prevent multiple inspections of rework parts.
- Compare performance differences between identical machines and optimize transport times.