You are previewing System Simulation and Modeling.
O'Reilly logo
System Simulation and Modeling

Book Description

Computer simulation models a real-life or hypothetical situation on a computer to study how the system works.

Table of Contents

  1. Title Page
  2. Contents
  3. Dedication
  4. Preface
  5. Chapter 1: Introduction to Simulation
    1. Introduction to Simulation
    2. How Would You Decide if Simulation Is the Right Tool?
    3. Areas of Application
    4. Advantages and Disadvantages of Simulation
    5. Types of Simulation Model
    6. Major Steps of a Simulation Study
    7. System Dynamics Model
    8. Summary
    9. Exercises
  6. Chapter 2: Review of Probability and Statistics
    1. Discrete Random Variable
    2. Continuous Random Variable
    3. Descriptive Characteristics of a Distribution
    4. Test of Hypothesis and Estimation of Confidence Interval
    5. Estimation Error
    6. Estimation of Parameters
    7. Goodness-of-fit Tests
    8. Summary
    9. Exercises
  7. Chapter 3: Managing the Event Calendar in a Discrete-event Simulation Model
    1. Time Advance Methods
    2. Data Collection
    3. Summary
    4. Exercises
  8. Chapter 4: Modeling Input Data
    1. Input Modeling Steps
    2. Arena Input Analyzer
    3. Selection of the Best Distribution
    4. Discrete Distribution
    5. Empirical Distribution
    6. Distribution Parameters
    7. Beware of Multiple Choices
    8. Summary
    9. Exercises
  9. Chapter 5: Generation of Random Numbers
    1. Generating Random Numbers
    2. Lagged Fibonacci Generators (LFG)
    3. Combination Generators
    4. The New RNG Used in Arena
    5. Some Popular Generators
    6. Statistical Tests for a Random Number Generator
    7. Summary
    8. Exercises
  10. Chapter 6: Generation of Random Variates
    1. Inverse Transform Method
    2. Method of Convolution
    3. Acceptance–Rejection Method
    4. Special Properties
    5. Empirical Distribution
    6. Summary
    7. Exercises
  11. Chapter 7: Generic Features and Introduction to Arena
    1. Generic Features of Discrete-event Simulation Software
    2. Introduction to Arena
    3. Summary
    4. Exercises
  12. Chapter 8: Real World Applications of Simulation
    1. Transfer Line Model
    2. Inventory System Model
    3. Deadlock Detection Model
    4. Computer Center Model
    5. Job Shop Model
    6. Just-in-time Model
    7. Pi value Estimation
    8. Capital Recovery Problem
    9. Economics of Insurance Policy
    10. Reliability Estimation
    11. Warranty Problem (Application on Markov’s Chain)
    12. Interpretation of Confidence Interval of a Parameter
    13. Computer Network Model
    14. Summary
    15. Exercises
  13. Chapter 9: Discrete–Continuous Simulation
    1. Problem Statement
    2. Summary
    3. Exercises
  14. Chapter 10: Verification and Validation of Simulation Models
    1. Summary
    2. Exercises
  15. Chapter 11: Introduction to Queuing System
    1. Queuing System Nomenclature
    2. Markovian Queuing Systems
    3. Solved Examples
    4. M/G/1/GD/∞/∞ System (Non-Markovian Queue)
    5. Analytical Model vs. Simulation Model
    6. Summary
    7. Exercises
  16. Chapter 12: Output Analysis
    1. Terminating System
    2. Non-terminating System
    3. Variance Reduction Techniques
    4. Summary
    5. Exercises
  17. Chapter 13: Agent-based Simulation
    1. John Conway’s Game “Life”
    2. Characteristics of the Consumer Behavior Model
    3. Simulation Model
    4. Result
    5. Agent-based Simulation Model for Spread of Disease
    6. Summary
    7. Exercises
  18. Chapter 14: Simulation and Optimization
    1. Buffer Size Optimization Model
    2. Inventory System Optimization Model (Problem Statement)
    3. Summary
    4. Exercises
  19. Chapter 15: Simulation Software Review
    1. Arena Software
    2. The ProModel Optimization Suite
    3. SIMUL8 Standard Simulation Software
    4. WITNESS Overview
    5. Simulation Using GPSS/H
    6. Quest Software
  20. Notes
  21. References
  22. Copyright