Digital Twins & Smart Plant Technologies for Operations Optimization

1) Course Introduction

This course explores digital twin technologies and smart plant platforms that simulate, monitor, and optimize industrial operations.

At the smart operations core, Seattle International Institute for Training integrates simulation environments, real-time modeling, and performance dashboards.

2) Key Learning Objectives

Participants will learn to:

• Understand digital twin architecture and lifecycle
• Build simulation models for process optimization
• Connect digital twins with live instrumentation data
• Use advanced analytics for performance forecasting
• Improve operational decision-making through digital modeling

3) Target Audience

• Digital transformation teams
• Process engineers
• Control engineers
• Reliability specialists

4) Course Importance & Business Impact

Digital twins reduce operational risks, improve performance, and support asset lifecycle management.

5) Practical Modules / Key Topics

• Digital twin design
• Simulation modeling
• Data integration
• Predictive analytics
• Smart plant use cases