Preface to the Fifth Edition |
Fundamentals Of Computer Simulation In Management Science / Part I: |
The computer simulation approach / 1: |
Models, experiments and computers / 1.1: |
Some applications of computer simulation / 1.2: |
Manufacturing / 1.2.1: |
Health care / 1.2.2: |
Business process re-engineering / 1.2.3: |
Transport systems / 1.2.4: |
Defence / 1.2.5: |
Models in management science / 1.3: |
Simulation as experimentation / 1.4: |
Why simulate? / 1.5: |
Simulation versus direct experimentation / 1.5.1: |
Simulation versus mathematical modelling / 1.5.2: |
Summary / 1.6: |
Exercises |
References |
A variety of modelling approaches / 2: |
General considerations / 2.1: |
Time handling / 2.2: |
Time slicing / 2.2.1: |
Next-event technique / 2.2.2: |
Time slicing or next event? / 2.2.3: |
Stochastic or deterministic? / 2.3: |
Deterministic simulation: a time-slicing example / 2.3.1: |
Stochastic simulation / 2.3.2: |
Discrete or continuous change / 2.4: |
Discrete change / 2.4.1: |
Continuous change / 2.4.2: |
A few words on simulation software / 2.4.3: |
Computer simulation in practice / 3: |
Process, content, problem and project / 3.1: |
Process and content / 3.1.1: |
Problems and projects / 3.1.2: |
Two parallel streams / 3.1.3: |
The simulation problem part of the study / 3.2: |
Problem structuring / 3.3: |
Problem structuring as exploration / 3.3.1: |
Modelling / 3.4: |
Conceptual model building / 3.4.1: |
Computer implementation / 3.4.2: |
Validation / 3.4.3: |
Experimentation / 3.4.4: |
Implementation / 3.4.5: |
The project part of the study / 3.5: |
Initial negotiation and project definition / 3.5.1: |
Project management and control / 3.5.2: |
Project completion / 3.5.3: |
Static Monte Carlo simulation / 4: |
Basic ideas / 4.1: |
Risk and uncertainty / 4.1.1: |
The replacement problem: a reprise / 4.1.2: |
Static Monte Carlo simulation defined / 4.1.3: |
Some important considerations / 4.2: |
Subjective probabilities / 4.2.1: |
Repeatability / 4.2.2: |
Some simple static simulations / 4.3: |
The loan repayment / 4.3.1: |
An investment decision / 4.3.2: |
Simulation on spreadsheets / 4.4: |
Discrete Event Simulation / Part II: |
Discrete event modelling / 5: |
Fundamentals / 5.1: |
Terminology / 5.2: |
Objects of the system / 5.2.1: |
The organization of entities / 5.2.2: |
Operations of the entities / 5.2.3: |
Activity cycle diagrams / 5.3: |
Example 1: a simple job shop / 5.3.1: |
Example 2: the harassed booking clerk / 5.3.2: |
Example 3: the delivery depot / 5.3.3: |
Using the activity cycle diagram / 5.3.4: |
Activity cycle diagrams: a caveat / 5.4: |
How discrete simulation software works / 6: |
Introduction / 6.1: |
Why understand how simulation software is organized? / 6.1.1: |
Simulation executives in more detail / 6.1.2: |
Application logic / 6.1.3: |
The three-phase approach / 6.2: |
Bs / 6.2.1: |
Cs / 6.2.2: |
The exception to the general rule / 6.2.3: |
Bs and Cs in the harassed booking clerk problem / 6.2.4: |
Another example: a T-junction / 6.2.5: |
How the three-phase approach works / 6.3: |
The A phase / 6.3.1: |
The B phase / 6.3.2: |
The C phase / 6.3.3: |
The harassed booking clerk--a manual three-phase simulation / 6.4: |
The first A phase / 6.4.1: |
The first B phase / 6.4.2: |
The first C phase / 6.4.3: |
The second A phase / 6.4.4: |
The next B and C phases / 6.4.5: |
The third A phase / 6.4.6: |
Preface to the Fifth Edition |
Fundamentals Of Computer Simulation In Management Science / Part I: |
The computer simulation approach / 1: |
Models, experiments and computers / 1.1: |
Some applications of computer simulation / 1.2: |
Manufacturing / 1.2.1: |