

Rio Tinto – Enhancing Aluminum Cable Coiling Quality with Tangle Probability Indicators
Josée Colbert, 4.0 Casting Specialist, Rio Tinto
This study focuses on improving aluminum cable coiling by developing a real-time detection method using process signals. A high-level indicator was created to monitor coiler performance and correlate with tangle rates, enabling proactive quality control. This approach enhances process understanding, supports data-driven decision making, and demonstrates the value of advanced analytics in improving manufacturing efficiency.
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