Computer Simulation in Management Science
(Sprache: Englisch)
The fifth edition of this book reflects its continued popularity and standing in the field. It provides a clear guide to the role of modelling and the computer simulation methods used in management science. Readers will find an in depth coverage of the...
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The fifth edition of this book reflects its continued popularity and standing in the field. It provides a clear guide to the role of modelling and the computer simulation methods used in management science. Readers will find an in depth coverage of the modelling, computing and statistical aspects of discrete simulation and systems dynamics.
Klappentext zu „Computer Simulation in Management Science “
The fifth edition of this book reflects its continued popularity and standing in the field. It provides a clear guide to the role of modelling and the computer simulation methods used in management science. Readers will find an in-depth coverage of the modelling, computing and statistical aspects of discrete simulation and systems dynamics.Overall the book shows how practical simulation models are built and used, and provides the theory needed to do this. Revisions to this edition include a new chapter on Monte Carlo simulation using spreadsheets, a new look inside discrete simulation software and simulation models in Visual Basic, SIMUL8 and Micro Saint.
Inhaltsverzeichnis zu „Computer Simulation in Management Science “
Preface to the Fifth EditionPART I: FUNDAMENTALS OF COMPUTER SIMULATION IN MANAGEMENT SCIENCE
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
Exercises
References
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
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
4 Static Monte Carlo simulation
4.1 Basic ideas
4.2 Some important considerations
4.3 Some simple static simulations
4.4 Simulation on spreadsheets
Exercises
References
PART II: DISCRETE EVENT SIMULATION
5 Discrete event modelling
5.1 Fundamentals
5.2 Terminology
5.3 Activity cycle diagrams
5.4 Activity cycle diagrams: a caveat
Exercises
References
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.0
6.7 Process-based approaches
6.8 Which approach is best?
Exercises
References
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
8 Visual interactive modelling and simulation
8.1 Basic ideas
8.2 Designing a visual simulation display
8.3 VIMS
8.4 Visual interactive simulation: a
... mehr
reprise
Exercises
References
9 Discrete simulation software
9.1 General principals
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
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--log-normal variates
10.8 Sampling from non-stationary processes: thinning
Exercises
References
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
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
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
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
15 System dynamics in practice
15.1 Associated Spares Ltd
15.2 Dynastat Ltd
15.3 System dynamics in practice
References
Index
Exercises
References
9 Discrete simulation software
9.1 General principals
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
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--log-normal variates
10.8 Sampling from non-stationary processes: thinning
Exercises
References
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
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
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
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
15 System dynamics in practice
15.1 Associated Spares Ltd
15.2 Dynastat Ltd
15.3 System dynamics in practice
References
Index
... weniger
Autoren-Porträt von Michael Pidd
Michael Pidd is Professor of Management Science in the Management Science Department of Lancaster University Management School. He is author of Tools for Thinking: Modelling in Management Science, now in its second edition, and editor of Systems Modelling: Theory and Practice - both published by John Wiley & Sons. He is a consultant to businesses and the public sector, a former President of the Operational Research Society and is a Research Fellow in the UK's Advanced Institute for Management Research.
Bibliographische Angaben
- Autor: Michael Pidd
- 2004, 5. Aufl., 296 Seiten, Maße: 24,6 cm, Kartoniert (TB), Englisch
- Verlag: Wiley & Sons
- ISBN-10: 0470092300
- ISBN-13: 9780470092309
Sprache:
Englisch
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