Reconstructed from actual ward events that were recorded.
Manufacturing Insights · Process Analysis
See real process paths. Understand variations and loops.
Process analysis reconstructs the actual path taken by parts and batches. This reveals detours, backtracking, rework, and wait times that remain hidden in target processes.
Manufacturing Insights Add-on
Dieses Modul beantwortet eine konkrete Produktionsfrage auf der gemeinsamen industriellen Datenbasis.
When the target process does not explain the actual losses
Event-based process analysis shows the actual paths products take and where time or capacity is lost.

- 01
The documented process is not the actual sequence of events
Setbacks, detours, and additional checks remain hidden in target processes and standard reports.
- 02
Rework ties up capacity without a clear cause
Parts pass through stations multiple times, while the root causes and affected variants are difficult to pinpoint.
- 03
Waiting and transit times are eliminated between stations
Processing time alone does not explain why lead times for individual products or batches are increasing.
- 04
Rare variants are only noticed when quality issues arise
Without complete event paths, it is not possible to systematically compare unusual sequences with results.
Event Path
From a Station Event to a Prioritized Process Loss
The analysis follows the actual process and preserves the product or batch context.
- 01
Assign Events
Station events are assigned to a part, order, or batch.
ID · Station · Timestamp
- 02
Reconstructing Actual Paths
Events arranged in chronological order reflect the actual production process.
Transition · Order · Duration
- 03
Compare Options
Frequent and rare processes are analyzed by product, line, shift, or time period.
Variants · Filters · Frequency
- 04
Prioritize Losses
Rework, wait times, and bottlenecks emerge as specific areas for improvement.
Loop · Wait time · Bottleneck
Process variants become verifiable evidence
The product views combine the reconstructed process graph with a targeted analysis of notable paths.
What cycle time or waiting time is costing your line capacity?
Build the actual material flow based on events
The process graph shows stages, transitions, and the frequency of actual paths rather than just a planned sequence of events.
Every node and every connection can be traced back to specific events.

What Makes Process Analysis Comparable
Processes, variations, and time losses can all be traced back to specific events.
Filter by product, batch, line, shift, or time period.
Highlight rework, re-inspections, and additional tests.
Examine waiting, transport, and turnaround times in detail.
Data Set and Scope
When Process Analysis Is the Right Method
What data is needed for process analysis?
We need chronologically ordered station or process events, as well as an ID that associates events with a part, order, or batch.
How does process analysis differ from state analysis?
Process analysis reconstructs the path that parts or batches take through various stations. Status analysis, on the other hand, examines the temporal distribution and duration of machine statuses.
Can the target process and the actual process be compared?
The actual event path highlights deviations from the expected sequence of events. Filters help narrow down the affected products, time periods, or shifts.
Is this only suitable for linear processes?
No. It is precisely branched processes, optional stages, backtracking, and rework loops that benefit from event-based reconstruction.
30-minute product demo
Which actual process path would you like to examine?
We'll show how a process graph is created from station events and how variations, rework, and wait times are minimized.
Product demo featuring a specific process scenario