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End User License Agreement
by Sally Brailsford, Leonid Churilov, Brian Dangerfield
Discrete-Event Simulation and System Dynamics for Management Decision Making
Cover
Wiley Series in Operations Research and Management Science
Title Page
Copyright
Dedication
Preface
List of Contributors
Chapter 1: Introduction
1.1 How this Book Came About
1.2 The Editors
1.3 Navigating the Book
References
Chapter 2: Discrete-Event Simulation: A Primer
2.1 Introduction
2.2 An Example of a Discrete-Event Simulation: Modelling a Hospital Theatres Process
2.3 The Technical Perspective: How DES Works
2.4 The Philosophical Perspective: The DES Worldview
2.5 Software for DES
2.6 Conclusion
References
Chapter 3: Systems Thinking and System Dynamics: A Primer
3.1 Introduction
3.2 Systems Thinking
3.3 System Dynamics
3.4 Some Further Important Issues in SD Modelling
3.5 Further Reading
References
Chapter 4: Combining Problem Structuring Methods with Simulation: The Philosophical and Practical Challenges
4.1 Introduction
4.2 What are Problem Structuring Methods?
4.3 Multiparadigm Multimethodology in Management Science
4.4 Relevant Projects and Case Studies
4.5 The Case Study: Evaluating Intermediate Care
4.6 Discussion
4.7 Conclusions
Acknowledgements
References
Chapter 5: Philosophical Positioning of Discrete-Event Simulation and System Dynamics as Management Science Tools for Process Systems: A Critical Realist Perspective
5.1 Introduction
5.2 Ontological and Epistemological Assumptions of CR
5.3 Process System Modelling with SD and DES through the Prism of CR Scientific Positioning
5.4 Process System Modelling with SD and DES: Trends in and Implications for MS
5.5 Summary and Conclusions
References
Chapter 6: Theoretical Comparison of Discrete-Event Simulation and System Dynamics
6.1 Introduction
6.2 System Dynamics
6.3 Discrete-Event Simulation
6.4 Summary: The Basic Differences
6.5 Example: Modelling Emergency Care in Nottingham
6.6 The $64 000 Question: Which to Choose?
6.7 Conclusion
References
Chapter 7: Models as Interfaces
7.1 Introduction: Models at the Interfaces or Models as Interfaces
7.2 The Social Roles of Simulation
7.3 The Modelling Process
7.4 The Modelling Approach
7.5 Two Case Studies of Modelling Projects
7.6 Summary and Conclusions
References
Chapter 8: An Empirical Study Comparing Model Development in Discrete-Event Simulation and System Dynamics
8.1 Introduction
8.2 Existing Work Comparing DES and SD Modelling
8.3 The Study
8.4 Study Results
8.5 Observations from the DES and SD Expert Modellers' Behaviour
8.6 Conclusions
Acknowledgements
References
Chapter 9: Explaining Puzzling Dynamics: A Comparison of System Dynamics and Discrete-Event Simulation
9.1 Introduction
9.2 Existing Comparisons of SD and DES
9.3 Research Focus
9.4 Erratic Fisheries – Chance, Destiny and Limited Foresight
9.5 Structure and Behaviour in Fisheries: A Comparison of SD and DES Models
9.6 Summary of Findings
9.7 Limitations of the Study
9.8 SD or DES?
Acknowledgements
References
Chapter 10: DES View on Simulation Modelling: SIMUL8
10.1 Introduction
10.2 How Software Fits into the Project
10.3 Building a DES
10.4 Getting the Right Results from a DES
10.5 What Happens After the Results?
10.6 What Else does DES Software do and Why?
10.7 What Next for DES Software?
References
Chapter 11: Vensim and the Development of System Dynamics
11.1 Introduction
11.2 Coping with Complexity: The Need for System Dynamics
11.3 Complexity Arms Race
11.4 The Move to User-Led Innovation
11.5 Software Support
11.6 The Future for SD Software
References
Chapter 12: Multi-Method Modelling: AnyLogic
12.1 Architectures
12.2 Technical Aspect of Combining Modelling Methods
12.3 Example: Consumer Market and Supply Chain
12.4 Example: Epidemic and Clinic
12.5 Example: Product Portfolio and Investment Policy
12.6 Discussion
References
Chapter 13: Multiscale Modelling for Public Health Management: A Practical Guide
13.1 Introduction
13.2 Background
13.3 Multilevel System Theories and Methodologies
13.4 Multiscale Simulation Modelling and Management
13.5 Discussion
13.6 Conclusion
References
Chapter 14: Hybrid Modelling Case Studies
14.1 Introduction
14.2 A Multilevel Model of MRSA Endemicity and Its Control in Hospitals
14.3 Chlamydia Composite Model
14.4 A Hybrid Model for Social Care Services Operations
References
Chapter 15: The Ways Forward: A Personal View of System Dynamics and Discrete-Event Simulation
15.1 Genesis
15.2 Computer Simulation in Management Science
15.3 The Effect of Developments in Computing
15.4 The Importance of Process
15.5 My Own Comparison of the Simulation Approaches
15.6 Linking System Dynamics and Discrete-Event Simulation
15.7 The Importance of Intended Model Use
15.8 The Future?
References
Index
End User License Agreement
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