Degree | Type | Year | Semester |
---|---|---|---|
2501233 Aeronautical Management | OB | 3 | 2 |
It has no previous requirements, although a minimum base of statistics and basic knowledge of programming is recommended.
The subject Systems Modelling and Simulation could be taught in different degrees, because what is intended is that students learn to perform a simulation model of any system in order to have more knowledge about it, and make the best possible decisions to improve the performance of it. In the case of airports, there are three major subsystems: airlines, users and airport infrastructures. Getting models including part of the three subsystems would greatly help decision making within an airport.
The objectives of the subject are specified in:
Topic 1: Introduction to Digital Simulation
Introduction to the development of a simulation project:
Topic 2: Modeling of Discrete Event Systems
Development of Discrete Event Systems models using Petri Nets:
Topic 3: Statistical Models for Simulation
Basic statistics for the simulation:
Topic 4: Simulation of Discrete Event Systems
Topic 5: Advanced Modeling of Discrete Event Systems
Colored Petri Nets:
Topic 6: Resource Management
The teaching methodology used in this subject is based on the resolution of problems and the participation of students in it. The subject is focused in a very practical way and it is essential that students participate in the activities, since it is the best way to learn. The master classes of the subject are reduced to the essentials to be able to have the basic knowledge to solve the proposed problems.
The course could be divided into different activities:
Annotation: Within the schedule set by the centre or degree programme, 15 minutes of one class will be reserved for students to evaluate their lecturers and their courses or modules through questionnaires.
Title | Hours | ECTS | Learning Outcomes |
---|---|---|---|
Type: Directed | |||
Practical classes | 12 | 0.48 | 9, 14, 16 |
Problem classes | 12 | 0.48 | 3, 9, 11, 14, 16 |
Theory classes | 26 | 1.04 | 9 |
Type: Supervised | |||
Practices | 6 | 0.24 | 9, 14, 16 |
Problems | 15 | 0.6 | 11 |
Type: Autonomous | |||
Assessment | 4.5 | 0.18 | 1, 10, 17 |
Personal study | 23 | 0.92 | 8, 7, 6, 5, 12, 17 |
Practices | 4 | 0.16 | 3, 9, 11, 14, 16 |
Preparation of Practices | 20 | 0.8 | 3, 11, 14, 16 |
Preparation of Problems | 20 | 0.8 | 7, 17 |
See assessment in Catalan or Spanish.
Title | Weighting | Hours | ECTS | Learning Outcomes |
---|---|---|---|---|
A Simulation model implemented in Pyhton | 20% | 2 | 0.08 | 13, 4, 8, 5, 9, 10, 18 |
Final exam | 40% | 2.5 | 0.1 | 1, 13, 9, 17 |
Practices | 40% | 3 | 0.12 | 13, 2, 3, 7, 6, 9, 11, 12, 15, 14, 16 |
Robust Modelling and Simulation: Integration of SIMIO with Coloured Petri Net / Idalia Flores De La Mota, Antoni Guasch, Miguel Mujica Mota, Miquel Angel Piera.
Modelado y simulación: aplicación a procesos logísticos de fabricación y servicios / Antoni Guasch ... [et al.]
Petri nets: a tool for design and management of manufacturing systems / Jean-Marie Proth and Xiaolan Xie Proth, Jean –Marie.
Coloured petri nets: modelling and validation of concurrent systems / Kurt Jensen, Lars M. Kristensen Jensen, Kurt.
Cómo mejorar la logística de su empresa mediante la simulación: Miquel Àngel Piera ... [et al.]
Simio & simulation: modeling, analysis, applications / W. David Kelton, Jeffrey S. Smith, David T. Sturrock
Simulation modeling with SIMIO: a workbook / Jeffrey Allen Joines ; Stephen Dean Roberts. Joines, Jeffrey A.
CPNTool
MS Excel
R-Simmer
JaamSim
SIMIO
Anylogic