Navigating the FRAM

Mastering the Functional Resonance Analysis Method for Modelling Complex Socio-Technical Systems
1. Auflage 2025
ISBN: 978-1-032-85051-1
Verlag: Taylor & Francis Ltd

Buch, Englisch, 472 Seiten, Format (B × H): 156 mm x 234 mm

In the world of safety science, where complex socio-technical systems demand innovative approaches, the Functional Resonance Analysis Method (FRAM) stands as a beacon of insight. Rooted in modern systemic management and Resilience Engineering principles, the FRAM offers a unique perspective, viewing systems through the lens of everyday performance variability.

Developed over decades of meticulous research, the FRAM serves as a powerful tool for modeling intricate systems, encompassing various realms: aviation, healthcare, IT software requirements, crisis management, and more. This book represents a culmination of two decades of research and practical applications of the FRAM. It offers an operational perspective and a useful reference for researchers and practitioners alike, empowering them to tackle a myriad of socio-technical modeling challenges. It blends traditional applications with cutting-edge advancements and looks at case studies in which the FRAM was utilized. Delving into the intricacies of the FRAM's structure and functionality, the book equips readers with operational knowledge essential for navigating diverse domains.

Written for researchers and practitioners in Occupational Health and Safety, Risk Engineering, Safety Engineering, Resilience Engineering, Human Factors, and related fields, Navigating the FRAM: Mastering the Functional Resonance Analysis Method for Modelling Complex Socio-Technical Systems resonates with those seeking to deepen their understanding of complex systems.

Zielgruppe

Academic

Autoren/Hrsg.

Patriarca, Riccardo

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur
• Technische Wissenschaften Technik Allgemein Technische Zuverlässigkeit, Sicherheitstechnik
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik

Inhaltsverzeichnis

1. The FRAM for socio-technical safety management and beyond. 2. A brief and unofficial history of the FRAM. 3. The FRAM essentials: principles and building steps. 4. The last five years (2019-2024) of FRAM literature. 5. The use and implications of small FRAM models: A case from healthcare. 6. Function identification and FRAM modeling of an aviation near-miss using convergent mixed methods. 7. Building a FRAM model using Large Language Models: a dream or a nightmare?. 8. A semantic lifting of language models to support FRAM models building. 9. Navigation support from shore: Analyzing remote pilotage using the FRAM. 10. Fuzzy assessment of variability in FRAM models. 11. Pathways to Industry 5.0 and Society 5.0: socio-technical systems modelling through FRAM and Discrete-Event Simulation. 12. The milky way to FRAM: comparing instantiations via network metrics in a dairy production plant. 13. Understanding patterns in mixed road traffic comparing functional critical paths between drivers and automated vehicles. 14. Machine Learning to support human learning from variable performance in FRAM. 15. The FRAM-IA to understand and assess distributed cognition and control. 16. Dynamic Variability Modelling: Capturing complexities in variability. 17. Integrating the FRAM and lean for waste analysis in production systems. 18. Maximising the impact of the FRAM: From analysis to implementation. 19. FRAM via software – the FRAM Model Visualizer. 20. FRAMing learning: Learning about FRAM through experience. 21. To FRAM or not to FRAM?. 22. Glossary.

Über Autor(innen)

Riccardo Patriarca is an Associate Professor at the Department of Mechanical and Aerospace Engineering of Sapienza University of Rome, Italy. He holds a BSc in Aerospace Engineering, an MSc in Aeronautical Engineering, and a PhD in Industrial and Management Engineering. He currently teaches Operations Management, Aviation Safety Management, and Human Factors for the MSc courses in Mechanical Engineering and Aeronautical Engineering at Sapienza. His research is oriented towards modeling complex socio-technical systems - including their cyber dimension - untangling their inherent complexities and advancing risk and resilience-aware solutions for an ever-evolving world.