Samenvatting - Simulation Theory and Applications (D0R19A)
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Module
Simulation Theory and Applications (D0R19A)
Institution
Katholieke Universiteit Leuven (KU Leuven)
Summary of the complete course based on notes and slides for the course Simulation Theory and Applications (D0R19A) HIR (B) 1st Master.
Business Engineer in Policy Informatics
Successful first session.
,Table of Contents
Chapter 1: What is Simulation? 3
1.1 Modeling 3
1.2 Different kinds of simulations 3
1.3 Final remarks 4
Chapter 2: Fundamental Simulation Concepts 5
2.1 An example 5
2.2 Event-driven hand simulation 5
2.3 Pieces of a simulation model 6
2.4 Randomness in simulation: some basic statistical issues 8
2.5 Overview of a simulation study 8
Chapter 3: A Guided Tour through Arena 9
3.1 Starting up 9
3.2 Exploring the Arena window 9
3.3 Browsing through an existing model: model 3-1 9
3.4 Building model 3-1 yourself 10
3.5 Case study: specialized serial processing vs generalized parallel processing 10
Chapter 4: Modeling Basic Operations and Inputs 11
4.1 Introduction 11
4.2 Model 4-1: an electronic assembly and test system 11
4.3 Model 4-2: enhanced electronic assembly and test system 11
4.4 Model 4-3: enhancing the animation 13
4.5 Model 4-4: electronic assembly and test system with part transfers 13
4.6 Finding and fixing errors 14
4.7 Input analysis: specifying model parameters and distributions 15
Chapter 5: Modeling Detailed Operations 18
5.1 Model 5-1: A simple call center system 18
5.2 New modeling issues 18
5.3 Modeling approach 18
5.4 Building the model 18
5.5 Model 5-2: the enhanced call center system 18
5.6 Model 5-3: the enhanced call center with more output performance measures 19
5.7 (Model 5-4: an (s,S) inventory simulation) 19
Chapter 6: Statistical Analysis of Output from Terminating Simulations 20
6.1 Time frame of simulations: terminating vs steady-state simulations 20
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, 6.2 Strategy for data collection and analysis 24
6.3 Confidence intervals for terminating systems: output analyzer 24
6.4 Comparing 2 scenarios: output analyzer 24
6.5 Comparing many scenarios: process analyzer 25
6.6 Searching for an optimal scenario: optquest 25
6.7 Periodic statistics 25
6.8 Extra: finding and fixing model errors 25
Chapter 7: Steady-State Statistical Analysis 26
7.2 Statistical analysis of output from steady-state simulations 26
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