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

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  • Formaat: Hardback, 460 pages, kõrgus x laius: 234x156 mm, kaal: 1040 g, 57 Tables, black and white; 41 Line drawings, black and white; 3 Halftones, black and white; 44 Illustrations, black and white
  • Ilmumisaeg: 14-Oct-2025
  • Kirjastus: CRC Press
  • ISBN-10: 1032854359
  • ISBN-13: 9781032854359
Teised raamatud teemal:
Navigating the FRAM: Mastering the Functional Resonance Analysis Method for Modelling Complex Socio-Technical SystemsSuurem pilt
  • Formaat: Hardback, 460 pages, kõrgus x laius: 234x156 mm, kaal: 1040 g, 57 Tables, black and white; 41 Line drawings, black and white; 3 Halftones, black and white; 44 Illustrations, black and white
  • Ilmumisaeg: 14-Oct-2025
  • Kirjastus: CRC Press
  • ISBN-10: 1032854359
  • ISBN-13: 9781032854359
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781032854359.html
Märksõnad:

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.



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.

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 (20192024) of FRAM Literature. SECTION I Step 1: To Identify
and Describe the Systems 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.
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.