Simulation in Production and Logistics

What it is about

You learn to develop discrete event-oriented simulations for production and logistics systems and to implement them in Python. In the end you can verify, validate, design experimental plans and analyze outputs as well as present the results of a simulation study.

What you will be able to do

Develop a simulation model
Implement simulation in Python
Perform verification and validation
Experimental design / design of experiments
Output analysis of the simulation
Present the results of a simulation study

What the module consists of

Group work / programming projectTo practically learn the implementation and application of a simulation
PresentationsIntroduction and discussion of the results of a simulation study
ExercisesDeepening of methods such as random number generators, verification and output analysis

Teaching method

Group workto jointly implement a simulation project
Programming with Pythonfor the practical implementation of simulation models
Presentationsto train the presentation of results and discussion
Exercisesfor application and deepening of the theoretical content

Dates

Lecture with exerciseSimulation in Production and Logistics (MGTHN0112)3 groups to choose from

ATue14:15–15:45
L.1.11, Seminarraum (1902.01.111)
15× · 13.10.–02.02.
- 13.10.
- 20.10.
- 27.10.
- 03.11.
- 10.11.
- 17.11.
- 24.11.
- 01.12.
- 08.12.
- 15.12.
- 22.12.
- 12.01.
- 19.01.
- 26.01.
- 02.02.
BMon14:15–15:45
L.1.12, Seminarraum (1902.01.112)
14× · 19.10.–01.02.
- 19.10.
- 26.10.
- 02.11.
- 09.11.
- 16.11.
- 23.11.
- 30.11.
- 07.12.
- 14.12.
- 21.12.
- 11.01.
- 18.01.
- 25.01.
- 01.02.
CMon16:15–17:45
L.1.11, Seminarraum (1902.01.111)
14× · 19.10.–01.02.
- 19.10.
- 26.10.
- 02.11.
- 09.11.
- 16.11.
- 23.11.
- 30.11.
- 07.12.
- 14.12.
- 21.12.
- 11.01.
- 18.01.
- 25.01.
- 01.02.

From the current semester, not binding. You attend one of several groups; the timetable automatically suggests the one with the fewest clashes.

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