Discrete-Event Simulation

Abdessalem Jerbi is a doctoral engineer in mechanical engineering and has taught flow simulation at the University of Sfax in Tunisia. His research is interdisciplinary, with a particular interest in simulation-based optimization.

• Preface xiChapter 1. Simulation 11.1. Introduction 11.2. Advantages of simulation 21.3. Disadvantages of simulation 31.4. Concepts relating to simulation 41.5. Components of a simulation model 61.6. Basic principles of system representation 131.7. Manual simulation 16Chapter 2. Simulation Project 232.1. The stages of a simulation project 232.2. Problem formulation 242.3. Setting objectives 242.4. Construction of the conceptual model 242.5. Data collection and analysis 252.6. Software coding 252.7. Verification 252.8. Validation 262.9. Design of an experimental framework 282.10. Running the simulation and analyzing the results 28Chapter 3. Data Processing 313.1. Introduction 313.2. Collecting input data. 323.3. Fitting a probability distribution to the variable 34Chapter 4. Results Analysis 474.1. Introduction 474.2. Determining the number of replications for a terminating system 484.3. Determining the number of replications for a non-terminating system 514.4. Statistical analysis of results 54Chapter 5. Presentation of Arena Software 715.1. Introduction 715.2. Arena software user interface 725.3. The "basic process" panel 735.4. The "advanced process" panel 825.5. The "advanced transfer" panel 89Chapter 6. Simulation Modeling 1016.1. Introduction to using Arena software 1016.2. Collection and analysis of results (transitional period detection) 1066.3. Resource failure 1186.4. Entities transfer (PickStation) 1246.5. Queue (Hold, Batch and Match) 1326.6. Resource group, schedule and record results (Set, Schedule, Record) 1416.7. Supply chain (Request, Transport and Free) 148Chapter 7. Simulation within the Manufacturing Sector 1577.1. Study of a television assembly line 1577.2. Simulation-based optimization of a flexible manufacturing system 184Chapter 8. Simulation within the Health Sector: Study of a Covid-19 Mass Vaccination Center 2058.1. Introduction 2058.2. Objective 2068.3. Description of the vaccination center 2068.4. Conceptual models of the vaccination center 2078.5. Data collection and analysis of service times 2108.6. Arrival rate of citizens at the center 2118.7. Coding the simulation model 2128.8. Verification of simulation models 2178.9. Validation of the simulation model of the real center. 2178.10. Experimentation and analysis of results 2228.11. Discussion and conclusion 238Chapter 9. Simulation in Supply Chains: Optimizing CO2 Emissions Through Pooling Strategies 2419.1. Introduction 2419.2. Pooling strategy 2429.3. Objective 2449.4. Description of the channel studied 2449.5. Formulation of the CO2 emissions indicator 2459.6. Conceptual models. 2469.7. Simulation models 2499.8. Verification and validation of simulation models 2639.9. Results and discussion 2669.10. Conclusion 268Appendices 269References 281Index 283