040299 KU Simulation II (MA) (2022S)
Prüfungsimmanente Lehrveranstaltung
Labels
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Mo 07.02.2022 09:00 bis Mo 21.02.2022 23:59
- Anmeldung von Do 24.02.2022 09:00 bis Fr 25.02.2022 23:59
- Abmeldung bis Mo 14.03.2022 23:59
Details
max. 35 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
Intermediate presentation: 03.06.2022
Final presentation: 17.06.2022
Submission final report: 30.06.2022
- Freitag 13.05. 09:45 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Freitag 20.05. 09:45 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Freitag 27.05. 09:45 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Freitag 03.06. 09:45 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Freitag 17.06. 09:45 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Freitag 24.06. 09:45 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
Art der Leistungskontrolle und erlaubte Hilfsmittel
The final grade is composed of
- an intermediate presentation of the group project (30%)
- a final presentation of the group project (35%)
- a term paper containing a project summary and results discussion (35%)At least 50% have to be obtained for a positive grade. The grading key is as follows:
4: 50% to <63%
3: 63% to <75%
2: 75% to <87%
1: 87% to 100%
- an intermediate presentation of the group project (30%)
- a final presentation of the group project (35%)
- a term paper containing a project summary and results discussion (35%)At least 50% have to be obtained for a positive grade. The grading key is as follows:
4: 50% to <63%
3: 63% to <75%
2: 75% to <87%
1: 87% to 100%
Mindestanforderungen und Beurteilungsmaßstab
At least 50% of the overall total achievable score have to be obtained for a positive grade. The assessment is based on the students' ability to implement a small simulation project in AnyLogic, including all necessary preparatory (input data analysis) and consecutive (results interpretation and derivation of managerial implications) steps.
Prüfungsstoff
After a short intro including advanced topics in simulation (e.g., output data analysis), students will work on their assigned projects in groups of at most two.
Literatur
Law, A.M.: Simulation Modeling & Analysis, McGraw-Hill.
Hillier, F.S., Lieberman, G. J.: Introduction to OperationsResearch, McGraw-Hill.
(Kelton, W.D.: Simulation with Arena, McGraw-Hill.)
Handbook of Simulation (Wiley)
Hillier, F.S., Lieberman, G. J.: Introduction to OperationsResearch, McGraw-Hill.
(Kelton, W.D.: Simulation with Arena, McGraw-Hill.)
Handbook of Simulation (Wiley)
Zuordnung im Vorlesungsverzeichnis
Letzte Änderung: Di 09.01.2024 00:09
This course is held in English. A basic SCM/OR knowledge is strongly encouraged. Prerequisites: simulation 1.
Attendance during the first lesson is mandatory, meaning that if a student is missing or not on time, they will be dropped from this course. Further, attendance during the intermediate and final presentations is mandatory.