Matteo De Marchi

• Free University of Bozen-Bolzano

In the world of multibody dynamics, models describing the behavior of rail-guided vehicle systems usually start from characterizing the body adhesion to a predetermined path, on which the body keeps a specified orientation associated with the spatial track curve. This is also the case of the rail-guided shuttles addressed by this work, which move a...

Learning factories are currently undergoing a transformation toward smart and sustainable production. Students can learn through practical implementation in learning factory labs how digital technologies can contribute to both increasing efficiency and ecological sustainability. The aim of this paper is to present a training concept for an IoT lab...

In today’s world, crises like the COVID-19 pandemic and ongoing global changes pose significant challenges for manufacturing companies. Resilience, the ability to withstand and recover from disruptions, is essential for survival. To make resilience actionable, the discussion introduces a four-step Circular Resilience Assessment Tool. To assess thei...

Digitalization and related networked systems integration and automation have increased the performance of manufacturing. At the same time, the vulnerability of the systems has increased significantly as networks are potential targets for attacks to compromise companies. Therefore, the study focuses on the functional design of cyber resiliency in cy...

Due to the spread of digitalization across every industry sector, technologies enabling digital transformation are nowadays capturing increasingly high attention. For instance, the use of Digital Twin as a real-time synchronized virtual representation of a physical system is gaining ground in many applications, particularly in the manufacturing sec...

Manufacturing companies’ preparedness level against external and internal disruptions is complex to assess due to a lack of widely recognized or standardized models. Resilience as the measure to characterize preparedness against disruptions is a concept with various numerical approaches, but still lacking in the industry standard. Therefore, the ma...

Industry 4.0 is the concept used to summarize the ongoing fourth industrial revolution, which is profoundly changing the manufacturing systems and business models all over the world. Collaborative robotics is one of the most promising technologies of Industry 4.0. Human-robot interaction and human-robot collaboration will be crucial for enhancing t...

This experimental study is set out to explore the effects of collaborative robotic system features on Workers’ perceived cognitive workload, usability and visual attention. This work’s primary objective is to identify strategies for lowering workers’ cognitive workload and increase usability when collaborating with robots in assembly tasks, ultimat...

In the context of Industry 4.0, a human-robot collaborative assembly system is an example of a cyber-physical production system, where operators and robots interact during assembly. Considering the growing market and the increasing use of industrial collaborative robotics, companies need support in the proper and profitable introduction of this tec...

Automation 4.0 comprises the latest technologies that enhance classic automation to communicate with machines in a connected manner and to enable more flexible and more intelligent automation in smart factories. Industry 4.0 has become a global trend over the past ten years to combine the benefits of automation with the needs for flexible productio...

By looking at the last few decades, industrial production has undergone great changes. Industry 4.0, also called the fourth industrial revolution, describes the change in the entire value chain through the digital networking of systems, machines, and products. In addition, product variety and complexity in assembly increased due to customization. B...