ULTERIORI ATTIVITA' FORMATIVE

Academic Year 2017/2018 - 1° Year
Teaching Staff: Fabrizio MESSINA
Credit Value: 3
Taught classes: 12 hours
Exercise: 12 hours
Term / Semester:

Learning Objectives

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.


Detailed Course Content

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.


Textbook Information

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