Industry
More rework, fluctuating cycle times, or recurring stoppages: Manufacturing Insights helps production and quality staff identify the affected stations, products, and process steps and systematically evaluate potential improvements.
Where data-based analysis helps
In discrete production environments, isolated key figures are often not enough. Typical symptoms are high levels of rejects without a clear cause, unstable cycle times, recurring stops or quality problems that cannot be clearly assigned to a station.
Consequently, solutions that not only visualize production data but also compile it into a clear report for root cause analysis and prioritized actions are particularly useful.
Consider line, process and part together
Between the first symptom and the actual measure is the question of how production events, process parameters and quality data can be evaluated together.
Analysis context
Compare output and cycle times by product and period. Then investigate unusual stations, machine states, and part histories. Process paths reveal where parts are processed again or spend longer waiting between stations.
These issues often take center stage in discrete manufacturing environments.
Detect deviations in cycle time, waiting times and station cycles.
Link quality events with process data and product reference.
For each part produced, review all data from the station, the process, and the limit values.
Evaluate recurring patterns not in isolation, but in the production process.
Basis for reliable production analyses
The improvement question determines the required data. In the workshop, we check which states, process values, and product identifiers are available and what information is still missing.
Statuses such as processing, automatic operation, stops or station events form the basis for availability and sequence analyses.
Force, displacement, temperature, torque, tightness or other quality-relevant values make process behavior technically evaluable.
Product IDs, batches, workpiece carriers or variants allow the linking of process history and quality per part.
IO, NOK and rework information link quality events with the underlying production context.
Existing control, process, and quality data allow you to get started right away. You'll be surprised at what your machines are already capable of!
Function modules for different tasks
Manufacturing Insights extends the IoT Data Hub with ready-made views for production, processes, errors, and part histories. We configure the required capabilities for your line and improvement question.
These functional areas can be combined within the same platform.
For output, cycle times, quality curves and the structured evaluation of line and station data.
View production analysisFor example: Where do rework loops or longer cycle times occur? Within a few days to weeks, we connect a line and configure the appropriate analysis. Scope and data availability determine the timeline.
We'll work with you to select a system and a specific loss scenario. We'll connect the initial data sources directly during the workshop.
We configure the IoT Data Hub and the relevant Manufacturing Insights modules. States, errors, and the required product or process data are mapped.
With customized views, you can identify production losses early on. We evaluate the benefits based on the agreed-upon goals.
30-minute product demo
In 30 minutes, we'll track a deviation using output data, station data, and part histories. You'll see what data your team needs for the investigation—no preparation required.