Discrete Event Simulation: concepts. |
Introduction. Simulation applications. Systems, models and simulation. Types of simulation. The modeling process. Systems and processes of discrete events. Terminology and architecture of a discrete event model. Application areas. |
3. Analysis of input data for simulation and time measurement. |
Practical case. |
5. FlexSim: Tables, variables, connection with Excel. |
Global tables. Labels Global variables. Monitoring variables. Connection with Excel. Modification of variables. Case study. |
7. Optimization. |
Linear programming. Non-Linear Programming Metaheuristics. |