Medical Device Quality Control and Failure Prediction System

Design an advanced Excel framework for predicting medical device failure rates and managing quality control processes. Implement sophisticated statistical process control techniques, develop predictive maintenance algorithms, and create comprehensive tracking systems for device performance metrics. Include automated anomaly detection mechanisms and design interactive dashboards that provide real-time insights into device reliability and potential failure modes.