Manufacturing Insights
The basis for any improvement is transparency. Bytefabrik makes relevant machine and process data visible so that quality losses, rework and downtimes can be classified more quickly.
Request a demoWhat transparency is really about
Transparency does not mean seeing as many data points as possible. The key is to understand deviations in the context of station, product, process and time more quickly.
Relevant questions are, for example: Which station increases the reject rate? Which assembly shows initial drift? Which process parameters distinguish good parts from rework?
This is precisely why existing machine and process data is brought into a technical context instead of being visible only as isolated key figures or raw signals.
Where transparency is lacking
The performance level of your system often fluctuates and manifests itself in costly problems such as increased reworking, unforeseen breakdowns or more rejects.
The causes of problems that occur are complex due to the large number of processes in your system and require intensive troubleshooting - causes include wearing parts, but also changes in the quality of supplied parts and environmental aspects.
The knowledge of how to operate your system optimally is often in the heads of a small number of employees - this knowledge is quickly lost due to fluctuation and a lack of specialists and is not explicitly recorded.
How our solution helps
Manufacturing Insights combines control, sensor and process data to create a common picture of the line, station, product and quality event. This creates reliable root cause images instead of isolated individual key figures.
This provides quality managers, process engineers and maintenance staff with a basis for classifying rejects, rework, error patterns and system behavior more quickly and prioritizing measures in a more targeted manner.
From output to OEE
Evaluation of all produced goods according to good parts, bad parts and rework as well as according to shifts, types and times - find the cause of quality problems at a glance.
Detailed display of all process key figures - compare system performance across systems and find the cause of reduced efficiency.
Get an intuitive visual representation of all activities, their runtimes and deviations from the normal process to identify even the most unusual correlations, such as the influence of temperature values on test processes.
The failure of wear parts often becomes apparent at an early stage - with process parameter analysis, you can ensure process stability by identifying emerging trends at an early stage - so you can proactively plan any necessary maintenance work.
For each product produced, all information is available down to the sensor value - so you can show customers compliance with limit values on request and have a long-term stored digital image for each part produced.
For each error present in the control system, you can see the frequency of occurrence, causes and duration of occurrence and acknowledgement, thus reducing downtime.
As a decision-maker, you have full transparency at all times about the current production efficiency using OEE - clearly presented in a scorecard. This allows you to see at a glance which system requires your attention.
Demo
Arrange a demo to get to know the platform, analysis and AI functions based on your questions.