Big Data Solutions by the Technology Leader

The data volumes generated in industrial production open up opportunities to create a more efficient overall process and maximum reliability for it. ZF has the expertise to design superior data analytics methods and models to enable rapid results for the customer.

As expert for both, transmissions and test benches, ZF is able not only to customize the algorithms to the respective application, but also the data necessary for the analysis. ZF itself relies on data analytics and is also offering these services on its test benches.

An improved and more effective evaluation of a product’s data during its life cycle can

reduce costs
enhance the quality of the current product
enhance the quality of the successors.

Automotive Production Analytics

Data driven decision making in production and quality are key for business success. On top of our strong experience in discrete manufacturing and testing we provide advanced analytics services based on KNIME for our customers. Within our consulting services we deliver prepared products that can be enhanced and maintained by the customer with the growth of customer needs. This enables the maximized value of customers experience and our contribution with products based on KNIME capabilities.

We offer the following programs/products:

TATOO

TATOO 4 allows you to store structured and unstructured data during or after production in a central database and thus makes it available for evaluations. It is a reliable tool for managing big data and also provides an easy-to-use interface for analyzing the stored data.

See: www.tatoo4.de

Guided Data Wrangling

Unlock the possibilities for self-service advanced analytics for quality and production specialists and create an upskilling path from descriptive statistics to advanced analytics.

Non-Conformance Reasoning

Non-conformance Reasoning offers automated pattern detection on data and a pattern assessment by quality experts greatly reduces the ambiguity of NOK EoL tests. This can help to identify promising improvements to avoid NOK in the future and delivers valuable insights to test engineers for further analysis (physically or data driven).

wAIveGuard

wAIveGuard examines the available data for unknown anomalies. The detection of these helps to identify the unexpected NOK which would be delivered as OK to the customer.

Maintenance of Limits

AI assisted maintenance of limits enables the full value out of your data. Due to workload restrictions today only product characteristic measurements are set maintained with limits.

All the other data are just stored. In case of customer complains or needs to optimize processes engineers try to use stored data to find solutions.

Maintenance of limits assists engineers to define bias free limit proposal which is a basis for quality checks of the data.

Scorer

With the Scorer application, complex functions like finding pattern of NOK judgments can be executed after each production step. The Scorer can be implemented close to the machine which does the task (testing, welding, screwing, curing, ...). Scoring is usually based on previously trained and improved models.

Know-how in all areas

ZF Test Systems performs data analytics for EoL testing and production. An important basis for this is the combination of different know-how areas from the ZF Group:

Production process know-how from transmission production for more than 100 years
Product know-how through countless applications in the areas of passenger cars, trucks and industrial technology
Test know-how from more than 1,700 delivered test benches in the R&D and production area
Applied data analytics know-how from topics such as autonomous operation, e.g. pattern recognition