Digital Twins for Manufacturing Optimization

Objectives

• Understand the concept and applications of digital twins in manufacturing.
• Explore how digital twins optimize manufacturing processes and enhance decision-making.
• Learn the integration of digital twins with advanced technologies like IoT and AI.
• Develop strategies for implementing digital twin systems in manufacturing operations.

Content

Introduction to Digital Twins

• Definition and components of digital twins
• Historical evolution and adoption in manufacturing
• Key benefits and challenges

Applications in Manufacturing Optimization

• Real-time monitoring and predictive maintenance
• Process simulation and performance enhancement
• Product lifecycle management

Integration with Advanced Technologies

• Role of IoT, AI, and machine learning in digital twins
• Data collection, analytics, and visualization
• Case studies of successful integrations

Implementation Strategies

• Steps to design and deploy digital twin systems
• Key considerations for scalability and security
• Measuring ROI and long-term benefits

DATE:

1ST BATCH: 3rd – 6th Feb, 2026    

2ND BATCH: 26th – 29th May, 2026

3RD BATCH: 22nd – 25th Sep, 2026