Modeling & Simulation Center - Laboratory of Enteprise Solutions

The laboratory excels in Modeling & Simulation (M&S), applying these methodologies across diverse domains such as industrial processes, supply chains and logistics, healthcare systems. This area involves the use of advanced simulation methodologies to create accurate models that can predict system behavior, optimize processes, and enhance decision-making capabilities.

Research in this area is dedicated to pioneering the next generations of industrial and manufacturing systems. This involves integrating cyber-physical systems, the Internet of Things (IoT), and cognitive computing to transform manufacturing while enhancing the human centricity. The focus is on creating smarter, more connected, and more efficient industrial environments.

Digital Twins technology is a cornerstone of the laboratory's research, offering deep insights into the industrial systems. This involves creating virtual replicas of physical systems to simulate, analyze, and optimize their functions in real-time, thereby enabling proactive monitoring and controls, decision support and smart operators remote capabilities.

This research area focuses on the development of Smart Operators within industrial settings. It explores innovative methods to incorporate multiple tecnologies (including AR, VR, MR, AI, web/mobile/wearable applications and machine learning technologies to enhance the importance, the centricity and the capabilities of human operators

The laboratory is exploring the potential of Extended Reality (XR) technologies, including Virtual Reality (VR), Mixed Reality (MR), and Augmented Reality (AR). These technologies are applied to create immersive training and simulation environments that provide realistic, interactive experiences for training in complex operations. XR technologies are also used to practical implement the off-site and on-site operators concept.

Research in Human Robot Collaboration (HRC) focuses on developing synthetic environments that enhance the collaborative interactions between humans and robots. The aim is to leverage advanced simulation tools to design systems where robots and human workers can perform tasks in unison, improving safety, efficiency, and productivity in industrial applications.