AI for Process Optimization in Manufacturing Operations Training Course

Introduction to AI in Manufacturing

• Emerging trends in smart manufacturing and Industry 4.0
• Overview of AI applications in operational contexts
• Key performance metrics and KPIs

Data Collection and Preparation

• Identifying manufacturing data sources (sensors, PLC, MES)
• Cleaning and structuring time-series data
• Preprocessing using Pandas and Jupyter

Descriptive and Diagnostic Analytics

• Data exploration and visualisation techniques
• Correlation analysis and identifying root causes
• Creating custom dashboards with Power BI

Machine Learning for Process Optimization

• Supervised and unsupervised learning paradigms
• Clustering for pattern discovery
• Regression and classification for predictive modelling

AI for Predictive Maintenance and Quality

• Anomaly detection and predictive alert systems
• Developing failure prediction models
• Enhancing product quality through model-driven insights

Real-Time Analytics and Feedback Loops

• Streaming data and real-time processing capabilities
• Integration with SCADA/MES systems
• Implementing feedback loops for automatic process adjustments

Case Study and Capstone Project

• Hands-on analysis of real-world datasets
• Designing and validating optimisation models
• Presenting a final AI-driven improvement plan

Summary and Next Steps