ZF Group Optimizes End-of-Line Testing with KNIME

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ZF, a global technology company producing complex mechatronic and electronic products, faced high costs due to extensive end-of-line (EOL) testing required at multiple production stages. KNIME AG helped by enabling advanced analytics and machine learning models to predict defective parts, allowing virtual testing that reduced physical tests by 95%. This solution significantly cut testing equipment investments, manpower, and energy costs, resulting in seven-digit savings and increased efficiency while maintaining high quality and safety standards in production.

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ZF Group Optimizes End-of-Line Testing with KNIME

ZF Group Optimizes End-of-Line Testing with KNIME

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