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Disruptive Scenarios
Disruptive Scenario 1: 5.0 Dental Offices of the Future
Dental offices face multiple organizational and operational challenges that affect patient experience, workflow efficiency, staff coordination, and resource utilization. Current processes often rely on fragmented workflows, manual coordination, and rigid organizational structures, limiting the ability to adapt to increasing patient demands and evolving healthcare expectations. The ambition is to identify, design, and prototype key innovative actions to design the organization of the Dental Offices of the future, for a transition towards organization 5.0.
Mentor: Prof. Dr. Xavier Boucher, École des Mines de Saint-Étienne, France
Facilitators: Raksmey Phan, Nadine Dubruc and Meryam Moutaoaffiq, École des Mines de Saint-Étienne, France;
Disruptive Scenario 2: 5.0 Solution for Manufacturing Automation
An automotive factory operates a multi-station production line with partially manual operations, fragmented material handling processes, and limited real-time visibility. Variability in cycle times, unbalanced workloads, coordination inefficiencies, and bottlenecks lead to idle times, downtime, and inefficient resource usage. The aim is to design and prototype Industry 5.0-oriented solutions for production line optimization through Digital Twin simulation, AI-supported decision-making, and human-centered process redesign.
Mentor: Prof. Dr. Adrian Florea, Lucian Blaga University of Sibiu, Romania
Facilitators: Catalin Stan and Razvan Toghe, Marquardt Sibiu, Romania
Disruptive Scenario 3: Precision Farming for Sustainable Olive Fruit Fly Control
Olive cultivation is of high cultural and economic importance in the Aegean Region. The olive fruit fly (Bactrocera oleae) is one of the most critical threats to olive production, causing significant harvest losses. Current control methods rely heavily on area-wide pesticide spraying and manual field monitoring processes, resulting in inefficiencies, delayed decision making, environmental burden, and increased operational costs. The aim is to design and prototype innovative Industry 5.0 solutions that can become part of a wider ecosystem where decisions are coordinated across sectors (hazard monitoring, occupational safety, food quality, etc) rather than isolated within olive cultivation.
Mentor: Prof. Dr. Evangelia Kavakli, University of the Aegean, Greece
Facilitators: Prof. Knut Hinkelmann, Fachhochschule Nordwestschweiz, Switzerland; Efstathios Trantalis, BOC, Greece
Disruptive Scenario 4: Smart Triage System for Emergency Healthcare
Emergency healthcare and hospital triage processes frequently suffer from delayed response times, fragmented information exchange, inefficient patient prioritization, and overloaded emergency departments. In critical situations, medical personnel often lack timely access to patient information, while emergency responders face difficulties in assessing and coordinating care under time pressure. Design and prototype intelligent healthcare solutions that improve emergency response coordination, patient triage, and hospital preparedness through AI-enabled assessment, real-time information exchange, predictive decision support, and human-centered digital healthcare workflows.
Mentor: Prof. Dr. Dimitris Plexousakis, FORTH, University of Crete, Greece
Facilitators: Dr. Alexander Völz, OMiLAB NPO, Germany; Andreea-Gabriela Gradinaru, Gheorghe Asachi Technical University of Iași
Disruptive Scenario 5: Cybersecurity in Space and IoT Ecosystems
The integration of Internet of Things (IoT) ecosystems with satellite networks introduces massive attack surfaces. Traditional ground security fails to address low-latency, crossborder, and resource-constrained space assets. The aim is to design, model, and prototype resilient cybersecurity frameworks shielding interconnected space-IoT devices from signal jamming, data interception, and supply chain tampering.
Mentor:Prof. Dr. Christos Douligeris, University of Piraeus, Greece
Facilitators: Dr. Nikolaos Tantouris, European Union Agency for Cybersecurity; Dr. Zacharenia Garofalaki,University of West Attica, Greece; Danial Mohammadi Amlashi, University of Vienna, Austria
Disruptive Scenario 6: Innovating Business Models to Reduce Asset Operational Costs and Enhance Sustainability
The case study explores how digitalization and servitization can be combined to redesign innovative business models and maintenance services for electrification assets while simultaneously addressing business, operational, and sustainability objectives. The main objectives are:
- Increase asset availability and reliability and reduce unplanned downtime.
- Improve service responsiveness.
- Extend equipment lifetime and component upgrades instead of full system replacement.
- Reduce environmental impacts associated with maintenance activities, including material consumption, waste generation, and transportation-related emissions. Explore alternative business models capable of aligning service performance with customer needs and sustainability objectives.
Mentor:Prof. Dr. Thomas Süße, Hochschule Bielefeld, Germany
Facilitators: Dr. Veronica Arioli & Prof. Fabiana Pirola, University of Bergamo, Italy; Valeria Cornelli, ABB, Italy