Program Overview

Introduction to LeDAM - Digital Twins and AR/VR Applications

The LeDAM program is an online training course focused on leveraging competences and skills of professionals in digital and automated manufacturing processes. It is a European project co-funded by EIT Manufacturing.

Course Structure

The course is composed of three basic modules addressing the main issues and diverse perspectives related to the application of Digital Twins and AR/VR in the manufacturing sector. These modules form a first introductory section of the wider program "Digital Twins and AR/VR applications," which can be completed by adding a dedicated specialization module.

Module 1: Advanced Manufacturing

This module offers a basic training in Supply Chain Management, Advanced Maintenance of production systems from Corrective to Predictive Maintenance, Lean theory, and main tools and applications, Main Industry 4.0 technologies, and Automatic Lines & Robotics.

Module 2: Information & Communication Technology

This module is dedicated to providing basic training on Digital Twins and extended reality technologies, introducing the main concepts and key terms necessary to start approaching such domains.

Module 3: Quality Control & Safety

The last module focuses on the fields of quality control and safety, firstly providing some general information about risk management for a better understanding of the following topics, which cover quality assurance, statistical quality control, safety management, and ISO 9000.

Requirements

No prerequisite knowledge is required from the participants.

Quizzes and Scores

The course is considered successfully completed if the participant answers correctly at least 60% of the questions in total.

Certificate of Accomplishment

The Certificate of Accomplishment will be released to anyone who has successfully completed the course by answering correctly to at least 60% of the questions by the end of the edition.

Additional Material

To deepen the topics discussed in the modules, bibliography and other helpful documents are available in the Additional Material section.

Course Professors

• Riccardo Accorsi: Associate Professor at the University of Bologna, with research interests in industrial engineering, supply chain management, and sustainable operations.
• Francesca Calabrese: Research fellow at the Department of Industrial Engineering, University of Bologna, with research interests in Machine Learning for Predictive Maintenance, Operations, and Logistics.
• Marco Bortolini: Associate Professor at the Department of Industrial Engineering, Alma Mater Studiorum Università di Bologna, with research interests in innovative strategies for production and logistics systems.
• Gianluca Palli: Full Professor at the University of Bologna, with research interests in industrial automation, robotics, and human-robot interaction.
• Paolo Bellavista: Full Professor of distributed and mobile systems at the University of Bologna, with research interests in pervasive wireless computing, big data processing, and edge cloud computing.
• Gustavo Marfia: Full Professor of Computer Science at the University of Bologna, with research interests in online gaming, human-computer interactions, and advanced interfaces.
• Michele Colajanni: Full Professor of cybersecurity at the University of Bologna, with interests in ethical hacking, cyber defense, and cybersecurity education.
• Roberto Tinarelli: Associate Professor of Electrical Measurements, with research interests in measurement for safety and process control.
• Alessandro Mingotti: Senior Assistant Professor at the Department of Electrical, Electronic, and Information Engineering, with research interests in distribution networks, instrument transformers, and condition maintenance.
• Lorenzo Peretto: Full Professor of Electrical and Electronic Measurements at the University of Bologna, with research interests in measurements in power systems, instrument transformers, and smart grids.
• Gabriele Pizzi: Associate Professor of Marketing at the University of Bologna, with research interests in assortment management, retail marketing, and customer satisfaction.
• Virginia Vannucci: Assistant Professor of Marketing at the University of Bologna, with research interests in marketing, digital technologies, innovation, and branding.