Simulation Modelling (E)

first cycle

When analytical techniques cannot be applied because of problem complexity and obtaining solutions from experiments is not feasible (to expensive, dangerous, etc.), simulation models are a powerful, universal tool for decision support, e.g. in the context of business processes, production systems, etc. Fundamental methods and techniques of modeling and simulation will be understood and can be applied using selected software tools.

Basic Math and Statistics knowledge

Each course unites is divided in a know-how and a practical part. In the more theoretically oriented know-how part, the fundamental methods and techniques of modeling and simulation (model building processes, modeling paradigms, simulation software, input data modeling, verification and validation of simulation models, output data analysis, and comparison of variants) are taught. In the practical parts the focus is on practicing the use of a commercial simulation software tool (presumably “SImul8”). Additional labs in the context of input modeling, validation, a model building tutorial, and a small project round up the practical part.

• J. Banks et al. Discrete-Event System Simulation. Pearson Education/Prentice Hall, Upper Saddle River, 2001.
• Simul8 Corporation. Simul8 Manual and Simulation Guide. Simul8 Corporation, 2002

Homework & examples: 50%, Simulation project: 50%

English

3

0

2.0

Lectures, discussion, examples, reading assignments, small project, Support via e-Learning-platform “Moodle” (learn.fh-kufstein.eu)

1

Prof. (FH) Dr. Johannes Lüthi

1

IP_TEC100

integrated lecture

Compulsory

not applicable