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

    Navigating the FRAM by Patriarca, Riccardo;

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

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      • Publisher's listprice GBP 165.00
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        81 427 Ft (77 550 Ft + 5% VAT)
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    81 427 Ft

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    Product details:

    • Edition number 1
    • Publisher CRC Press
    • Date of Publication 15 October 2025

    • ISBN 9781032854359
    • Binding Hardback
    • No. of pages476 pages
    • Size 234x156 mm
    • Language English
    • Illustrations 44 Illustrations, black & white; 3 Halftones, black & white; 41 Line drawings, black & white; 57 Tables, black & white
    • 700

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    Short description:

    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.

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    Long description:

    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 modelling 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 modelling 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.

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    Table of Contents:

    List of Contributors. Foreword. Preface. Acknowledgements. PROLOGUE Introducing the FRAM. Chapter 1 The FRAM for Socio-Technical Safety Management and Beyond. Chapter 2 A Brief and Unofficial History of the FRAM. Chapter 3 The FRAM Essentials: Principles and Building Steps. Chapter 4 The Last Five Years (2019–2024) of FRAM Literature. SECTION I Step 1: To Identify and Describe the System’s Functions. Chapter 5 The Use and Implications of Small FRAM Models: A Case from Healthcare. Chapter 6 Function Identification and FRAM Modelling of an Aviation Near-Miss Using Convergent Mixed Methods. Chapter 7 Building a FRAM Model Using Large Language Models: A Dream or a Nightmare? Chapter 8 A Semantic Lifting of Language Models to Support FRAM Models Building. SECTION II Step 2: To Identify the Variability. Chapter 9 Navigation Support from Shore: Analyzing Remote Pilotage Using the FRAM. Chapter 10 Fuzzy Assessment of Variability in FRAM Models. Chapter 11 Pathways to Industry 5.0 and Society 5.0: Socio-Technical Systems Modelling through FRAM and Discrete-Event Simulation. SECTION III Step 3: Aggregate Variability, Actual, and Potential. Chapter 12 The Milky Way to FRAM: Comparing Instantiations via Network Metrics in a Dairy Production Plant. Chapter 13 Understanding Patterns in Mixed Road Traffic: Comparing Functional Critical Paths between Drivers and Automated Vehicles. Chapter 14 Machine Learning to Support Human Learning from Variable Performance in FRAM. Chapter 15 The FRAM-IA to Understand and Assess Distributed Cognition and Control. SECTION IV Step 4: Assess the Consequences of the Analysis. Chapter 16 Dynamic Variability Modelling: Capturing Complexities in Variability. Chapter 17 Integrating the FRAM and Lean for Waste Analysis in Production Systems. Chapter 18 Maximizing the Impact of the FRAM: From Analysis to Implementation. SECTION V Implementation and Reflections on the FRAM. Chapter 19 FRAM via Software: The FRAM Model Visualizer. Chapter 20 FRAMing Learning: Learning about FRAM through Experience. SECTION VI Final Thoughts. Chapter 21 To FRAM or not to FRAM? Glossary. Index.

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