Simulation Theory & Applications
door
Rik Teugels
Master Handelsingenieur in de Beleidsinformatica
FEB
KU Leuven
Prof. Van Nieuwenhuyse Inneke
0
,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
1
, 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
2
door
Rik Teugels
Master Handelsingenieur in de Beleidsinformatica
FEB
KU Leuven
Prof. Van Nieuwenhuyse Inneke
0
,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
1
, 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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