Navigating the FRAM: Mastering the Functional Resonance Analysis Method for Modelling Complex Socio-Technical Systems

Author:   Riccardo Patriarca
Publisher:   Taylor & Francis Ltd
ISBN:  

9781032850511


Pages:   460
Publication Date:   15 October 2025
Format:   Paperback
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Our Price $139.00 Quantity:  
Add to Cart

Share |

Navigating the FRAM: Mastering the Functional Resonance Analysis Method for Modelling Complex Socio-Technical Systems


Overview

Full Product Details

Author:   Riccardo Patriarca
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.880kg
ISBN:  

9781032850511


ISBN 10:   1032850515
Pages:   460
Publication Date:   15 October 2025
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

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.

Reviews

Author Information

Riccardo Patriarca is an associate professor in the Department of Mechanical and Aerospace Engineering at 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 modelling complex socio-technical systems – including their cyber dimension – untangling their inherent complexities and advancing risk and resilience-aware solutions for an ever-evolving world.

Tab Content 6

Author Website:  

Countries Available

All regions
Latest Reading Guide

OCT_RG_2025

 

Shopping Cart
Your cart is empty
Shopping cart
Mailing List