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Computer Simulation in Management Science

ISBN-10: 0471979317

ISBN-13: 9780471979319

Edition: 4th 1998

Authors: Michael Pidd

List price: $70.00
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Description:

Further to the previous editions of this text, Pidd updates relevant sections placing more emphasis on the increasingly crucial area of system dynamics, strengthens statistical aspects, and features more exercises at the end of each chapter.
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Book details

List price: $70.00
Edition: 4th
Copyright year: 1998
Publisher: John Wiley & Sons, Incorporated
Publication date: 2/11/1998
Binding: Paperback
Pages: 298
Size: 7.75" wide x 9.75" long x 0.75" tall
Weight: 1.298
Language: English

Michael Pidd is Professor of Management Science and Head of the Management Science Department at Lancaster University Management School. He is a research fellow of the UK's Advanced Institute of Management Research and has served as the President of the Operational Research Society. His technical work in computer simulation has been recognised by awards and accolades in the UK and the USA. His current work focuses on improvement in healthcare delivery.

Preface to the Fifth Edition
Fundamentals Of Computer Simulation In Management Science
The computer simulation approach
Models, experiments and computers
Some applications of computer simulation
Manufacturing
Health care
Business process re-engineering
Transport systems
Defence
Models in management science
Simulation as experimentation
Why simulate?
Simulation versus direct experimentation
Simulation versus mathematical modelling
Summary
Exercises
References
A variety of modelling approaches
General considerations
Time handling
Time slicing
Next-event technique
Time slicing or next event?
Stochastic or deterministic?
Deterministic simulation: a time-slicing example
Stochastic simulation
Discrete or continuous change
Discrete change
Continuous change
A few words on simulation software
Exercises
References
Computer simulation in practice
Process, content, problem and project
Process and content
Problems and projects
Two parallel streams
The simulation problem part of the study
Problem structuring
Problem structuring as exploration
Modelling
Conceptual model building
Computer implementation
Validation
Experimentation
Implementation
The project part of the study
Initial negotiation and project definition
Project management and control
Project completion
Exercises
References
Static Monte Carlo simulation
Basic ideas
Risk and uncertainty
The replacement problem: a reprise
Static Monte Carlo simulation defined
Some important considerations
Subjective probabilities
Repeatability
Some simple static simulations
The loan repayment
An investment decision
Simulation on spreadsheets
Exercises
References
Discrete Event Simulation
Discrete event modelling
Fundamentals
Terminology
Objects of the system
The organization of entities
Operations of the entities
Activity cycle diagrams
Example 1: a simple job shop
Example 2: the harassed booking clerk
Example 3: the delivery depot
Using the activity cycle diagram
Activity cycle diagrams: a caveat
Exercises
References
How discrete simulation software works
Introduction
Why understand how simulation software is organized?
Simulation executives in more detail
Application logic
The three-phase approach
Bs
Cs
The exception to the general rule
Bs and Cs in the harassed booking clerk problem
Another example: a T-junction
How the three-phase approach works
The A phase
The B phase
The C phase
The harassed booking clerk—a manual three-phase simulation
The first A phase
The first B phase
The first C phase
The second A phase
The next B and C phases
The third A phase