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Prediction of rework with Machine Learning

Challenge

In vehicle production, defects and quality deficiencies regularly lead to so-called rework. These rework activities are time-consuming and costly.

Solution

To reduce rework, the installed optional extras per vehicle are analyzed using machine learning and statistical analysis methods. In this way, conclusions can be drawn or predictions made as to which combinations of optional extras lead to particularly high levels of rework.

Benefit

During production, vehicles with "eye-catching" combinations can be built with particular care or these vehicles can be placed more optimally in the production sequence. This saves high costs in rework.

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Dragan, Sunjka

Dragan Sunjka

Lead IT Consultant Automotive & Manufacturing

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