The aim of this class is to give a treatment of the main aspect of simulation study in logistics contexts, including modeling, simulation languages, validation and output data analysis
There are no compulsory prerequisites
Course contents summary
Basic Simulation Modeling (the nature of simulation; system, modes and simulation; discrete event simulation, distributed simulation, steps in a simulation study, other types of simulation; advantages, disadvantages and pitfall of simulation).
Review of basic probability and statistics.
Building valid and credible simulation models.
Selecting input probability distributions.
Output data analysis for a single system.
Comparing alternative system configuration.
Experimental design and optimization.
A.M. Law and W.D. Kelton, Simulation modeling & analysis, McGraw-Hill, Inc.,
Lectures. During the class, numerical examples concerning practice cases are shown.
Assessment methods and criteria
The exam consists of a written test, either in form of multiple choices or open questions. The exam includes both theoretical questions and exercises.