Digital Twin in Manufacturing Training in Kathmandu, Nepal

This course introduces the concept of Digital Twins in the manufacturing context—virtual representations of physical assets, processes, or systems. Participants will explore how digital twins are used to simulate, monitor, and optimize manufacturing operations in real time. The course covers architecture, real-world platforms, and industrial applications, with a strong emphasis on hands-on demonstrations and strategic implementation.

Fundamentals and Architecture

Introduction to Digital Twins

• What is a Digital Twin? History and evolution

• Digital Twin vs Simulation vs Virtual Prototype

• Benefits and applications in manufacturing

Architecture of a Digital Twin

• Core components: physical entity, virtual model, data link

• Types of twins: Product, Process, System

• Key technologies: IoT, AI/ML, Cloud, Edge

Digital Thread and Data Flow

• Sensors and data acquisition

• Connectivity protocols (OPC-UA, MQTT)

• Edge computing and data synchronization

Tools and Modeling

Building Digital Twins – Tools and Platforms

• Overview of platforms: Siemens MindSphere, Azure Digital Twins, PTC ThingWorx

• Open-source options: OpenModelica, Eclipse Ditto

Simulation and Real-Time Monitoring

• Simulating machine/process behavior

• Integrating real-time data streams

• Visualization dashboards

Industrial Applications and Strategic Planning

Use Cases in Manufacturing

• Production line optimization

• Energy efficiency and predictive maintenance

• Worker safety and ergonomics modeling

• Digital Twin in Industry 4.0 initiatives

Challenges and Best Practices

• Data quality and synchronization

• Interoperability and vendor lock-in

• ROI measurement and proof of value

Roadmap for Adoption

• Assessment checklist for Digital Twin readiness

• Phased deployment strategy

• Organizational change and skills required

Hands-on Exercises

Summary and Conclusion