Lehrinhalte
Basics of discrete-event simulation:
[list]
[*]Random numbers
[*]Process models for simulation studies
[*]Statistical methods used for modelling and analysis
[*]Integrating simulation and meta-heuristics
[/list]
Literatur
Law, A. M. (2006): Simulation Modelling and Analysis (4. Aufl.). Columbus: Mcgraw-Hill Professional.
Banks, J., Carson, J. S. & Nelson, B. L. (2009): Discrete-Event System Simulation (5. Aufl.). London: Prentice Hall.
Kosturiak, J. & Gregor, M. (1995): Simulation von Produktionssystemen. Wien: Springer.
Liebl, F. (1995): Simulation: problemorientierte Einführung (2. Aufl.). München: Oldenbourg.
Voraussetzungen
Bachelor degree
Basics knowledge in statistics and programming are required; Basics in Operations Research are helpful but not necessary.
Basics of discrete-event simulation:
[list]
[*]Random numbers
[*]Process models for simulation studies
[*]Statistical methods used for modelling and analysis
[*]Integrating simulation and meta-heuristics
[/list]
Literatur
Law, A. M. (2006): Simulation Modelling and Analysis (4. Aufl.). Columbus: Mcgraw-Hill Professional.
Banks, J., Carson, J. S. & Nelson, B. L. (2009): Discrete-Event System Simulation (5. Aufl.). London: Prentice Hall.
Kosturiak, J. & Gregor, M. (1995): Simulation von Produktionssystemen. Wien: Springer.
Liebl, F. (1995): Simulation: problemorientierte Einführung (2. Aufl.). München: Oldenbourg.
Voraussetzungen
Bachelor degree
Basics knowledge in statistics and programming are required; Basics in Operations Research are helpful but not necessary.
- Lehrende: Ralf Elbert
- Lehrende: Sven Spieckermann
Semester: ST 2019