Greater safety, better comfort and innovative functions: The increasing complexity of technical systems in vehicles presents an even greater challenge for manufacturers and suppliers.
The quality and reliability of vehicle components (units, modules and parts) has become the decisive competitive factors.
Part Average Analysis, developed in 2001, permits the
early detection of stochastic and systematic failures, called “dormant failures.”
The product quality of new parts and the value creation process of technical
systems can be improved substantially with this new method.
PAA aims to minimize in particular the faults that frequently
arise during the first operating hours of a vehicle and are caused by a
technical malfunction of a unit or component. Ideally, the target is zero-fault
The PAA is thus an analysis process and a preventive
measure at the same time.
In the iTAC.MES.Suite implements the analysis methods
of the Part Average Analysis as a standard. A decisive factor here is the
online detection of anomalous components, which is ensured by bi-directional coupling
of the testing systems. This allows immediate preventive action during the
manufacturing process, i.e. the parts that have come to attention are
eliminated from further processing, which is an
elementary contribution to zero-fault production and failure avoidance. Cross-supplier
PAA monitoring becomes possible.
The PAA 2.0 is based on the comparison of measurement data. The PAA examines the data of “good” parts whose parameter values are within a permitted value range but which behave in a peculiar way compared to other parts.
Anomaly analysis and process capability analysis run in two functions in the web-based standard software iTAC.MES.Suite: