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Instructors: N.N.
Event type:
Lecture
Org-unit: Dept. 01 - Law and Economics
Displayed in timetable as:
vl_Simul. Prod./Log.
Subject:
Crediting for:
Hours per week:
2
Language of instruction:
German
Min. | Max. participants:
- | -
Course Contents:
Basics of discrete-event simulation:
- Random numbers
- Process models for simulation studies
- Statistical methods used for modelling and analysis
- Integrating simulation and meta-heuristics
Literature:
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.
Preconditions:
Bachelor degree
Basics knowledge in statistics and programming are required; Basics in Operations Research are helpful but not necessary.
Expected Number of Participants:
5-20
Official Course Description:
Simulation of production and logistic systems is an interdisciplinary topic. It connects know-how of operations management and Operations Research with knowledge of mathematics and statistics, informatics and Software Engineering. After the succesful completion of the module, students know the statistical basics of discrete-event simulation. They can classify and use the corresponding software. They know the relations between simulation and optimization as well as some case studies. They further know how to structure a simulation project and where to pay attention to in the project development.
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