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Contents Preface to the fifth edition Part I: fundamentals of computer simulation in management science Chapter 1: The computer simulation approach 1.1 Models, experiments and computers 1.2 Some applications of computer simulation 1.3 Models in management science 1.4 Simulation as experimentation 1.5 Why simulate? 1.6 Summary Chapter 2: A variety of modelling approaches 2.1 General considerations 2.2 Time handling 2.3 Stochastic or deterministic? 2.4 Discrete or continuous change? Exercises References Chapter 3: Computer simulation in practice 3.1 Process, content, problem and project 3.2 The simulation problem part of the study 3.3 Problem structuring 3.4 Modelling 3.5 The project part of the study Exercises References Chapter 4: Static Monte Carlo simulation 4.2 Some important considerations 4.3 Some simple static simulations 4.4 Simulation on spreadsheets Exercises References Part II: Discrete event simulation Chapter 5: Discrete event modelling 5.1 Fundamentals 5.2 Terminology 5.3 Activity cycle diagrams 5.4 Activity cycle diagrams: a caveat Exercises References Chapter 6: How discrete simulation software works 6.1 Introduction 6.2 The three-phase approach 6.3 How the three-phase approach works 6.4 The harassed booking clerk-a manual three-phase simulation 6.5 The event-based worldview 6.6 The activity scanning approach 6.7 Process-based approaches 6.8 Which approach is best? Exercises References Chapter 7: Writing a three-phase simulation program 7.1 Introduction 7.2 Inside the executive 7.3 The Visual Basic implementation 7.4 Using VBSim to simulate the harassed booking clerk problem 7.5 Putting it all together Exercises References CHAPTER 8: VISUAL INTERACTIVE MODELLING AND SIMULATION 8.1 Basic ideas 8.2 Designing a visual simulation display 8.3 Visual interactive modelling systems 8.4 Visual interactive simulation: a reprise Exercises References Chapter 9: Discrete simulation software 9.1 General principles 9.2 A quick overview of discrete simulation software 9.3 VIMS and their relatives 9.4 Programming using a general-purpose language 9.5 Programming approaches using simulation languages 9.6 Layered systems and application templates 9.7 Appraising simulation software: some principles 9.8 Which to choose? Horses for courses References Chapter 10: Sampling methods 10.1 Basic ideas 10.2 Random number generation 10.3 Testing random number generators 10.4 General methods for random sampling from continuous distributions 10.5 Random sampling algorithms for discrete distributions 10.6 Sampling from the Normal distribution 10.7 Deriving one distribution from another - LogNormal variates 10.8 Sampling from non-stationary processes: thinning Exercises References Chapter 11: Planning and analysing discrete simulation output 11.1 Fundamental ideas 11.2 Dealing with transient effects 11.3 Dealing with lack of independence 11.4 Variance reduction 11.5 Descriptive sampling 11.6 Experimentation Exercises References Chapter 12: Model Testing and Validation 12.1 The importance of validation 12.2 Validation and comparison 12.3 Black box validation 12.4 White box validation 12.5 Type zero errors References Part III: System dynamics Chapter 13: Structure, behaviour, events and Feedback systems 13.1 Events, behaviours and structures 13.2 Feedback systems 13.3 Modelling feedback systems 13.4 The origins of system dynamics Exercises References Chapter 14: System dynamics modelling and simulation 14.1 Introduction 14.2 Beyond the diagrams-system dynamics simulation 14.3 Simulating delays in system dynamics 14.4 System dynamics modelling Exercises References Chapter 15: System dynamics in practice 15.1 Associated spares ltd 15.2 Dynastat Ltd 15.3 System dynamics in practice Reference Author index Subject index
Library of Congress Subject Headings for this publication: Management science Computer simulation