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040899 KU Production Analysis (MA) (2022W)
Prüfungsimmanente Lehrveranstaltung
Labels
GEMISCHT
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Mo 12.09.2022 09:00 bis Fr 23.09.2022 12:00
- Anmeldung von Mi 28.09.2022 09:00 bis Do 29.09.2022 12:00
- Abmeldung bis Fr 14.10.2022 23:59
Details
max. 50 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
Prüfung vor Ort: 30.11., 25.01.
- Mittwoch 05.10. 15:00 - 17:00 Digital
- Mittwoch 12.10. 15:00 - 17:00 Digital
- Mittwoch 19.10. 15:00 - 17:00 Digital
- Mittwoch 09.11. 15:00 - 17:00 Digital
- Mittwoch 16.11. 15:00 - 17:00 Digital
- Mittwoch 23.11. 15:00 - 17:00 Digital
- Mittwoch 30.11. 15:00 - 18:15 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Mittwoch 07.12. 15:00 - 17:00 Digital
- Mittwoch 14.12. 15:00 - 17:00 Digital
- Mittwoch 11.01. 15:00 - 17:00 Digital
- Mittwoch 18.01. 15:00 - 17:00 Digital
- Mittwoch 25.01. 15:00 - 18:15 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
The goal of the course is to provide students with an in-depth coverage of selected topics from production planning and control. By adopting a strongly quantitative, mainly model-driven perspective, the students are introduced to methods and approaches for solving typical problems that arise at different levels of the planning hierarchy. The scope of issues discussed ranges from aggregate planning to detailed scheduling and is illustrated by sample calculations. Links to the area of optimization and related concepts ((meta-)heuristics, exact optimization algorithms, linear and mixed integer programming) are pointed out and critically reviewed, also from a practical point of view.
Art der Leistungskontrolle und erlaubte Hilfsmittel
Homework (15%), Midterm exam (35%), Endterm exam (40%), Essay (10%).
Homework and essay submissions will be online via Moodle. The exams will be on-site.
Examination dates: Midterm - 30.11.2022; Endterm - 25.01.2023
Homework and essay submissions will be online via Moodle. The exams will be on-site.
Examination dates: Midterm - 30.11.2022; Endterm - 25.01.2023
Mindestanforderungen und Beurteilungsmaßstab
For a positive grade, students have to achieve at least 50 points/percent. There is no minimum requirement per component. The grading is as follows:
87.0% - 100.0%: 1 (very good)
75.0% - 86.9%: 2 (good)
63.0% - 74.9%: 3 (satisfactory)
50.0% - 62.9%: 4 (adequate)
0.0% - 49.9%: 5 (unsatisfactory)
87.0% - 100.0%: 1 (very good)
75.0% - 86.9%: 2 (good)
63.0% - 74.9%: 3 (satisfactory)
50.0% - 62.9%: 4 (adequate)
0.0% - 49.9%: 5 (unsatisfactory)
Prüfungsstoff
Lecture notes, literature excerpts, home assignments
Literatur
All materials are provided digitally, via Moodle.
* Edward A. Silver, David F. Pyke, Rein Peterson, Inventory Management and Production Planning and Scheduling, 3rd Edition.
* Sipper and Bulfin, Production: Planning, Control and Integration, McGraw-Hill, 1997
* S. Nahmias: Production and Operations Analysis, McGraw-Hill, 2009.
* Edward A. Silver, David F. Pyke, Rein Peterson, Inventory Management and Production Planning and Scheduling, 3rd Edition.
* Sipper and Bulfin, Production: Planning, Control and Integration, McGraw-Hill, 1997
* S. Nahmias: Production and Operations Analysis, McGraw-Hill, 2009.
Zuordnung im Vorlesungsverzeichnis
Letzte Änderung: Do 11.05.2023 11:27