Industry
For OEM-related and supplier-side production lines in which quality deviations, rework and traceability must be understood more quickly in the context of station, process parameters and product.
Contact usWhere analysis begins
In automotive environments, there is rarely just one key figure that is decisive. Typical symptoms are rejects, rework, unstable testing processes or recurring error patterns whose cause cannot be immediately assigned to a station or product variant.
Accordingly, solutions that do not visualize quality and process data in isolation, but make it usable for root cause analysis along the station, product and parts history, are important.
Where analysis starts in automotive lines
Quality deviations often only become apparent in downstream inspections or through increased reworking instead of directly at the process step that caused them.
Tool states, workpiece carriers, screwdrivers, sealing tests or process parameters change gradually and remain difficult to explain without context.
Limit values, test results and product context must be reproducibly available for customers, audits or complaints.
In complex assembly and testing lines, it takes a lot of time to assign quality losses to the right station, the right carrier or a specific product variant.
Practical relevance
Anomalies are not only considered in the end result, but are also linked to the associated parts history, the process values of the stations involved and the history of previous quality events.
These areas are particularly important in automated assembly and testing lines.
Function blocks for automotive contexts
Depending on the line and quality requirements, different modules for analysis, traceability and knowledge assurance can be combined.
These modules access the same data and context basis and complement each other in practice.
For output, cycle and cycle times as well as the structured evaluation of quality and station data.
For parts histories, traceability and access to product-related process and quality data.
If process paths, loops or unusual variants between stations are also to be considered.
For the structured documentation of anomalies, root cause analyses and team measures.
Demo
Arrange a demo to get to know the platform, analysis and AI functions based on your questions.