Manufacturing Insights
Improve production efficiency
For production environments in which availability, quality and performance levels need to be improved more quickly using existing control and process data.
Contact usInitial situation
Where efficiency is typically lost
Production losses often do not result from a single event, but from the interplay of process deviations, material influences, system status and a lack of context.
Typical challenges
These symptoms occur particularly frequently in efficiency projects in automated lines.
Fluctuating performance level
Losses in performance and quality often manifest themselves indirectly at first: through longer cycles, more rework or more frequent disruptions.
Time-consuming troubleshooting
With complex lines, it is difficult to trace which process steps, parameters or materials actually contributed to the deviation.
Knowledge remains implicit
Experience with typical patterns, threshold values and measures often remains tied up in individual teams or persons.
Analysis approach
Making efficiency problems visible in the production context
Instead of just looking at individual key figures, production events, process parameters and quality data are brought together in such a way that deviations can be evaluated in the context of line, station, product and time period.
- Shared view of performance, quality and process behavior
- Classification of patterns instead of isolated individual values
- Basis for prioritized improvement measures
Analysis modules for improving efficiency
Depending on the line and data situation, different forms of evaluation are used to narrow down the causes more quickly.
Output and quality
Good parts, rejects and reworkEvaluate quality events by line, station or time period.
Comparison by shift and productMaking performance differences visible in the production context.
Historical processesTrack developments over days, weeks or product changes.
Cycle and cycle time
Station-related cycle timesLimit bottlenecks and performance shifts down to process level.
Comparison via linesRecognize deviations between similar systems or layers.
Waiting and downtimeResolve non-value-adding times in the course and per station.
Process parameters
Force, temperature, torque, pressureEvaluate quality-relevant process values during production.
Trend and limit value analysisSystematically detect early signs of drift or wear.
Context by product or recipeParameters in connection with variants and product families.
Error patterns and OEE-related key figures
Error and alarm analysisEvaluate faults according to frequency, duration and ward context.
OEE-related viewsClassify availability, performance and quality in coherent views.
Product and parts reportsProvide histories and quality certificates for each part or batch.
More in-depth functions on the same database
Matching modules
Additional modules are often added for efficiency issues when process paths, alarm screens or more comprehensive production analyses become relevant.
Further solutions
These modules supplement the efficiency view with additional analysis perspectives.
Manufacturing Insights
The central product module for evaluating throughput, quality, process parameters and error patterns on a common database.
Process analysis
If real process paths, variants and loops are to provide additional information about efficiency and quality losses.
Alarm analysis
When downtimes, warning chains or recurring faults become the focus of efficiency improvements.
Demo
Experience Bytefabrik live
Arrange a demo to get to know the platform, analysis and AI functions based on your questions.