| Chapter 1 Basic Simulation Modeling1.1 The Nature of Simulation1.2 Systems, Models, and Simulation1.3 Discrete-Event Simulation1.3.1 Time-Advance Mechanisms1.3.2 Components and Organization of a Discrete-Event Simulation Model1.4 Simulation of a Single-Server Queueing System1.4.1 Problem Statement1.4.2 Intuitive Explanation1.4.3 Program Organization and Logic1.4.4 C Program1.4.5 Simulation Output and Discussion1.4.6 Alternative Stopping Rules1.4.7 Determining the Events and Variables1.5 Simulation of an Inventory System1.5.1 Problem Statement1.5.2 Program Organization and Logic1.5.3 C Program1.5.4 Simulation Output and Discussion1.6 Steps in a Sound Simulation Study1.7 Other Types of Simulation1.7.1 Continuous Simulation1.7.2 Combined Discrete-Continuous Simulation1.7.3 Monte Carlo Simulation1.8 Advantages, Disadvantages, and Pitfalls of SimulationAppendix 1A: A Primer on Queueing Systems1A.1 Components of a Queueing System1A.2 Notation for Queueing Systems1A.3 Measures of Performance for Queueing SystemsProblemsChapter 2 Modeling Complex Systems2.1 Introduction2.2 List Processing in Simulation2.2.1 Approaches to Storing Lists in a Computer2.2.2 Linked Storage Allocation2.3 A Simple Simulation Language: simlib2.4 Single-Server Queueing Simulation with simlib2.4.1 Problem Statement2.4.2 simlib Program2.4.3 Simulation Output and Discussion2.5 Time-Shared Computer Model2.5.1 Problem Statement2.5.2 simlib Program2.5.3 Simulation Output and Discussion2.6 Multiteller Bank With Jockeying2.6.1 Problem Statement2.6.2 simlib Program2.6.3 Simulation Output and Discussion2.7 Job-Shop Model2.7.1 Problem Statement2.7.2 simlib Program2.7.3 Simulation Output and Discussion2.8 Efficient Event-List ManipulationAppendix 2A: C Code for simlibProblemsChapter 3 Simulation Software3.1 Introduction3.2 Comparison of Simulation Packages with Programming Languages3.3 Classification of Simulation Software3.3.1 General-Purpose vs. Application-Oriented Simulation Packages3.3.2 Modeling Approaches3.3.3 Common Modeling Elements3.4 Desirable Software Features3.4.1 General Capabilities3.4.2 Hardware and Software Requirements3.4.3 Animation and Dynamic Graphics3.4.4 Statistical Capabilities3.4.5 Customer Support and Documentation3.4.6 Output Reports and Graphics3.5 General-Purpose Simulation Packages3.5.1 Arena3.5.2 Extend3.5.3 Other General-Purpose Simulation Packages3.6 Object-Oriented SimulationChapter 4 Review of Basic Probability and Statistics4.1 Introduction4.2 Random Variables and Their Properties4.3 Simulation Output Data and Stochastic Processes4.4 Estimation of Means, Variances, and Correlations4.5 Confidence Intervals and Hypothesis Tests for the Mean4.6 The Strong Law of Large Numbers4.7 The Danger of Replacing a Probability Distribution by its MeanAppendix 4A: Comments on Covariance-Stationary ProcessesProblemsChapter 5 Building Valid, Credible, and Appropriately Detailed Simulation Models5.1 Introduction and Definitions5.2 Guidelines for Determining the Level of Model Detail5.3 Verification of Simulation Computer Programs5.4 Techniques for Increasing Model Validity and Credibility5.4.1 Collect High-Quality Information an Data on the System5.4. Interact with the Manager on a Regular Basis5.4.3 Maintain a Written Assumptions Document and Perform a Structured Walk-Through5.4.4 Validate Components of the Model by Using Quantitative Techniques5.4.5 Validate the Output from the Overall Simulation Model5.4.6 Animation5.5 Management's Role in the Simulation Process5.6 Statistical Procedures for Comparing Real-World Observations and Simulation Output Data5.6.1 Inspection Approach5.6.2 Confidence-Interval Approach Based on Independent Data |
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