01 What is Simulation? 02 When Simulation is Not Appropriate? 03 Advantages of Simulation 04 Disadvantages of Simulation 05 Areas of Simulation Applications 06 The System Concept and System Components 07 The Model of A System 08 Discrete-Event System Simulation 09 Steps of Discrete Event System Simulation 10 Simulating Randomness and Random Numbers 11 Simulating A Sequence of Coin Tosses 12 Simulating Dice Rolls 13 Queuing Simulation in Spreadsheet 14 What is A Random Variable? 15 Modeling Discrete Random Variables 16 Bernoulli and Binomial Distributions 17 Poisson Distribution 18 Geometric Distribution 19 Modeling Continuous Random Variables 20 Continuous Uniform Distribution 21 Triangular Distribution 22 Exponential Distribution and Its Relationship with Poisson Distribution 23 Normal Distribution 24 What is A Random Number? 25 Uniformity and Independence Properties 26 Pseudo Random Number Sequences 27 Linear Congruential Method 28 Application of Linear Congruential Generator 29 Hypothesis Testing for Uniformity and Independence 30 The Kolmogorov-Smirnov Test 31 The Chi-Square Test 32 Auto-correlation Tests 33 What is A Random Variate? 34 The Inverse-Transform Theorem 35 Generating Continuous Uniform Random Variates 36 Generating Exponential Random Variates 37 Generating Triangular Random Variates 38 Generating Normal Random Variates 39 Generating Continuous RVs from Empirical Distributions 40 Generating Discrete RVs from Empirical Distributions 41 Generating Discrete Uniform Random Variates 42 Generating Geometric Random Variates 43 Acceptance-Rejection Technique 44 Other Random Variate Generation Techniques 45 Four Steps of Input Modeling 46 Data Collection 47 Identifying the Distribution with Discrete Data 48 Identifying the Distribution with Continuous Data (Basic) 49 Identifying the Distribution with Continuous Data (Advanced) 50 Parameter Estimation 51 Goodness-of-Fit Tests: Q-Q Plots 52 Goodness-of-Fit Tests: Continuous Observations 53 Goodness-of-Fit Tests: Discrete Observations 54 Analysis of Queueing Systems 55 Characteristics of Queueing Systems 56 Kendall's Queueing Notation 57 Input Notation for Queueing Models 58 Output Notation for Queueing Models 59 Conservation Equation (Little's Law) 60 Queueing Theory and Closed-Form Performance Metrics for M/M/1 Queues 61 Spreadsheet Simulation of An M/G/1 Queue 62 ARENA User Interface 63 ARENA M/M/1 Queue Simulation Part I 64 ARENA M/M/1 Queue Simulation Part II 65 ARENA M/M/1 Queue Simulation Part III 66 ARENA M/M/1 Queue Simulation Part IV 67 ARENA Specialized Serial vs Generalized Parallel Processing 68 ARENA Electronic Test and Assembly System Part I 69 ARENA Electronic Test and Assembly System Part II 70 ARENA Electronic Test and Assembly System Part III 71 ARENA Enhanced Electronic Test and Assembly System Part I 72 ARENA Enhanced Electronic Test and Assembly System Part II 73 ARENA Enhanced Electronic Test and Assembly System Part III 74 ARENA Enhanced Electronic Assembly and Test System Part IV 75 ARENA Enhanced Electronic Assembly and Test System with Part Transfers 76 ARENA A Simple Call Center System Part I 77 ARENA A Simple Call Center System Part II 78 ARENA A Simple Call Center System Part III 79 ARENA A Simple Call Center System Part IV 80 ARENA A Simple Call Center System Part V 81 ARENA A Simple Call Center System Part VI 82 Model Building, Verification, and Validation 83 Verification of Simulation Models 84 Validation Through Calibration 85 Three Step Validation Approach 86 Validating Input Output Transformations 87 The Turing Test 88 What Is Output Analysis? 89 Absolute Measures of Performance (Discrete-Time vs. Continuous-Time Data) 90 Point Estimation 91 Confidence Intervals vs. Prediction Intervals 92 Output Analysis for Terminating Simulations 93 Output Analysis for Steady-State Simulations 94 Confidence Intervals with Specified Precision 95 Comparison of Alternative System Designs 96 Independent Sampling 97 Correlated Sampling (Common Random Numbers)