Intelligent Manufacturing Quality Control and Process Optimization

Build a comprehensive Python-powered manufacturing quality management system that performs real-time defect detection, process optimization, and predictive maintenance tracking in Google Sheets. The system must integrate data from IoT sensors, production lines, and quality control databases, implement advanced statistical process control techniques, generate automated quality reports, and provide actionable improvement recommendations. Include machine learning models for anomaly detection and predictive equipment failure assessment.