
Designing and Managing Complex Systems
- 1st Edition - December 1, 2022
- Imprint: Academic Press
- Author: David Moriarty
- Language: English
- Paperback ISBN:9 7 8 - 0 - 3 2 3 - 9 1 6 0 9 - 7
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 9 1 6 1 0 - 3
The systems that surround us are often multidimensional, and complex, consisting of a large collection of networked components with convoluted connections between them. De… Read more

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Request a sales quoteThe systems that surround us are often multidimensional, and complex, consisting of a large collection of networked components with convoluted connections between them. Designing and managing such systems can be challenging, particularly in organizations. Designing and Managing Complex Systems introduces readers to the theory of complex systems, examining the role of human within larger systems, the factors that affect system performance, and how such systems can be optimized. The first section reviews the history of one particularly fruitful approach to complexity, one based on knowledge of the human nervous system. Next, the author discusses the current understanding of complex systems in a variety of domains including physical, biological, mechanical, and organizational. Within these chapters the author also introduces the idea that there are marked similarities in how complexity is successfully managed across these different domains and how the ideas from one domain can be useful in other domains. Next, these ideas are synthesized into a framework for successfully designing and managing complex systems. The fourth section focuses on case studies concerning failures and successes within complex systems.
- Provides an overview of the background and scope of complexity science
- Reviews current understanding of complex systems in a variety of domains (physical, biological, mechanical, and organizational)
- Introduces the idea of using successful techniques from one domain to help design and manage complex systems in other domains
- Includes case studies analysing failures and successes within complex systems
- Cover image
- Title page
- Table of Contents
- Copyright
- Dedication
- Author biography
- Preface
- Acknowledgments
- Part I. Cybernetics
- Chapter 1.1. Control and communication
- Part II. Learning from systems
- Chapter 2.1. The simplification imperative
- 2.1.1. Model making
- 2.1.2. Necessary complexity and systems thinking
- Chapter 2.2. The language of systems
- 2.2.1. Interlocking systems of reality
- 2.2.2. Structure and function of complex systems
- 2.2.3. Natural dynamics of complex systems
- 2.2.4. The need for complex systems
- 2.2.5. Tractability and effective complexity
- 2.2.6. Cynefin framework
- 2.2.7. How humans affect complexity
- Chapter 2.3. Classes of systems
- 2.3.1. Classes of systems
- 2.3.2. Physical systems
- 2.3.3. Biological systems
- 2.3.4. Entropy and constraint
- 2.3.5. A consilient approach to the evolution of complex systems
- 2.3.6. Societal systems
- 2.3.7. Informational systems
- 2.3.8. Technical systems
- 2.3.9. Sociotechnical systems
- Chapter 2.4. Neurobiological systems
- 2.4.1. Introduction
- 2.4.2. Structure and function of the nervous system
- 2.4.3. Information processing
- 2.4.4. Functional scales in neurobiology
- 2.4.5. Decision-making
- 2.4.6. Levels of performance
- 2.4.7. Neural dynamics and connectomics
- 2.4.8. Brain plasticity
- 2.4.9. The autonomic nervous system
- 2.4.10. Feedback
- 2.4.11. The reticular activating system
- 2.4.12. Reflexes
- Chapter 2.5. Sociotechnical systems
- 2.5.1. Introduction
- 2.5.2. Scales in sociotechnical systems
- 2.5.3. Taylorism, Fordism, and requisite metasystems
- 2.5.4. Dynamic safety model
- 2.5.5. The role of humans in sociotechnical systems
- Chapter 2.6. Consilient dynamics across scales
- 2.6.1. Introduction
- 2.6.2. Summary of concepts covered
- Part III. Creating and managing systems
- Chapter 3.1. Introduction to part 3
- 3.1.1. Introduction
- 3.1.2. Definitions
- 3.1.3. Dynamics
- 3.1.4. Building up our understanding of systems
- Chapter 3.2. Structure and function
- 3.2.1. Designing structure and assigning function
- 3.2.2. The Viable System Model
- 3.2.3. The Revised Viable System Model (rVSM)
- Chapter 3.3. Capability and adaptive capacity
- 3.3.1. Capability
- 3.3.2. Anticipating system dynamics
- 3.3.3. Adaptive capacity
- Chapter 3.4. Engineering resilience
- 3.4.1. Introduction
- 3.4.2. A note about terminology
- 3.4.3. Resilience Engineering
- 3.4.4. Resilience and the operating point
- 3.4.5. Systemic failure modes and counterforces
- 3.4.6. Engineering resilience
- 3.4.7. Just culture
- Chapter 3.5. Assessing the system properties of your organization
- 3.5.1. Introduction
- 3.5.2. Structure
- 3.5.3. Function
- 3.5.4. Capability
- 3.5.5. Adaptive capacity
- 3.5.6. Resilience
- 3.5.7. Conclusion
- Part IV. Case studies
- Chapter 4.1. Challenger and Columbia1,2
- 4.1.1. Analysis
- Chapter 4.2. Walmart, FEMA, and Hurricane Katrina1–4
- 4.2.1. Analysis
- Chapter 4.3. Lake Peigneur1,2
- 4.3.1. Analysis
- Chapter 4.4. The water temples of Bali1–3
- 4.4.1. Analysis
- Chapter 4.5. The global financial crisis1–3
- 4.5.1. Analysis
- Chapter 4.6. Continental Airlines1
- 4.6.1. Analysis
- Chapter 4.7. Three Mile Island1–3
- 4.7.1. Analysis
- Chapter 4.8. Cybersyn and the trucking strike1–3
- 4.8.1. Analysis
- Chapter 4.9. Biological and informational viruses
- 4.9.1. Analysis
- Chapter 4.10. Netflix1
- 4.10.1. Analysis
- Chapter 4.11. Fukushima1–5
- 4.11.1. Analysis
- Chapter 4.12. The Mumbai Dabbawalas1,2
- 4.12.1. Analysis
- Chapter 4.13. Flash Crash1–4
- 4.13.1. Analysis
- Chapter 4.14. Alphafold 21,2
- 4.14.1. Analysis
- Part V. Conclusion
- Chapter 5.1. Consilience with the arts
- 5.1.1. Introduction
- 5.1.2. Simple patterns and complex sounds
- 5.1.3. Complexity in the visual arts
- Chapter 5.2. Conclusion
- References
- Index
- Edition: 1
- Published: December 1, 2022
- No. of pages (Paperback): 322
- No. of pages (eBook): 322
- Imprint: Academic Press
- Language: English
- Paperback ISBN: 9780323916097
- eBook ISBN: 9780323916103
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