Type of course:
Digital learning, Lesson
Language:
EN
Duration:
15 minutes
Workload:
Array hour
Proficiency:
Advanced
Target:
Professionals, Workers, Manager
SUMMARY
In this lesson, students will examine the role of digital twins in fostering sustainable, intelligent manufacturing. Digital twins create a virtual mirror of physical systems, allowing real-time monitoring and predictive analytics to enhance efficiency and reduce waste. Core aspects include 3D visualization, continuous data integration from IoT sensors, and simulation-based optimization. Digital twins help manufacturers achieve eco-friendly production by optimizing resource usage and energy consumption. Furthermore, combining digital twins with AI and advanced data analytics fosters intelligent manufacturing, allowing for agile responses to production demands and customized, high-quality products.

About The Author
The public establishment INTECHCENTRAS was established by the Engineering and Technology Industries Association of Lithuania (LINPRA). As an independent business organization, LINPRA represents the interests of companies in the metal products, machinery and equipment, electromechanics and electronics, plastics, and rubber industries at both the international and national levels. InTechCentras is a Smart Manufacturing competence center. We serve as the coordinators for the Advanced Manufacturing Digital Innovation Hub and were one of the initiators of the EDIH4LT in Lithuania. Intechcentras is the only independent certified RecyClass.
Learning outcomes
- By the end of this lesson, students will be able to evaluate the potential of emerging technologies to transform traditional manufacturing processes into more sustainable, intelligent systems.
- By the end of this lesson, students will be able to analyze the role of each enabling technology in achieving sustainable manufacturing goals, identifying how specific technologies contribute to efficiency, waste reduction, and energy savings.
- By the end of this lesson, students will be able to analyze the interactions between enabling technologies to understand how combined systems can further enhance sustainability and operational efficiency.
Topics
Digital Transformation, Digital Twin