ULTERIORI ATTIVITA' FORMATIVE

The course aims at introducing the basic concepts of Discrete Event Simulations (DES).

DES are experimental activities applied to multidisciplinary contexts by students, researchers, industry operators in order to simulate the evolution of systems whose state evolves due to the occurrence of a set of events.

The program includes the main concepts of model and development for discrete event simulations, as well as analysis of results.

1.Models. DES models and taxonomy. Model development and simulation study. Programming languages vs simulation languages. Modeling and simulatiion of an inventorys system and a system SSQ (trace-driven).

2. Discrete event simulations. Generation of random numbers. Exemples.

3.Next-event simulations. States, events, clock, scheduling, event lists. Examples. Data structures for events.

4.ComplexSim simulator. Simulator description, functionalities, architecture, examples.

Leemis, Lawrence M., and Stephen Keith Park. Discrete-event simulation: A first course. Upper Saddle River, NJ: Pearson Prentice Hall, 2006.