Learning objectives
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
Prerequisites
There are no compulsory prerequisites
Course unit content
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.
Full programme
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Bibliography
A.M. Law and W.D. Kelton, Simulation modeling & analysis, McGraw-Hill, Inc.,
Teaching methods
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.
Other information
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2030 agenda goals for sustainable development
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