International Conference on Digital Twin Technologies in Industrial Engineering (ICDTTIE - 27)

This track focuses on the latest developments in digital twin technologies and their applications in industrial engineering. Participants will explore innovative methodologies and tools that enhance the creation and utilization of digital twins.

This session will delve into the role of virtual prototyping and simulation-based design in optimizing engineering processes. Attendees will discuss case studies and methodologies that leverage these techniques for improved product development.

This track addresses the challenges and solutions in real-time system modeling and monitoring within industrial contexts. Participants will examine the integration of real-time data with digital twin frameworks to enhance operational insights.

This session will explore the application of predictive analytics in enhancing decision-making processes in industrial engineering. Discussions will focus on data-driven approaches that leverage historical data for future performance predictions.

This track investigates the integration of cyber-physical systems with digital twins to create more responsive and adaptive industrial environments. Participants will share insights on the challenges and benefits of such integrations.

This session will focus on optimization techniques that utilize digital twins to enhance performance and efficiency in industrial processes. Attendees will present research on algorithms and methodologies that drive twin-based optimization.