040899 KU Production Analysis (MA) (2021W)
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 13.09.2021 09:00 bis Do 23.09.2021 12:00
- Anmeldung von Mo 27.09.2021 09:00 bis Mi 29.09.2021 12:00
- Abmeldung bis Fr 15.10.2021 23:59
Details
max. 50 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
- Donnerstag 07.10. 13:15 - 14:45 Digital
- Donnerstag 14.10. 13:15 - 14:45 Digital
- Donnerstag 21.10. 13:15 - 14:45 Digital
- Donnerstag 28.10. 13:15 - 14:45 Digital
- Donnerstag 04.11. 13:15 - 14:45 Digital
- Donnerstag 11.11. 13:15 - 14:45 Digital
- Donnerstag 18.11. 13:15 - 14:45 Digital
- Donnerstag 25.11. 13:15 - 14:45 Digital
- Donnerstag 02.12. 13:15 - 14:45 Digital
- Donnerstag 09.12. 13:15 - 14:45 Digital
- Donnerstag 16.12. 13:15 - 14:45 Digital
- Donnerstag 13.01. 13:15 - 14:45 Digital
- Donnerstag 20.01. 13:15 - 14:45 Digital
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Donnerstag
27.01.
13:15 - 14:45
Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß - Donnerstag 27.01. 15:00 - 16:30 Hörsaal 11 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 (25%), Endterm exam (30%), Essay (15%), Case study (15%).
Homework, essay and case study submissions will be online via Moodle. The exams will be on-site, if possible.
Examination dates: Midterm - 02.12.2021; Endterm - 27.01.2022
Update: due to the current COVID situation, the midterm exam will be online!
Homework, essay and case study submissions will be online via Moodle. The exams will be on-site, if possible.
Examination dates: Midterm - 02.12.2021; Endterm - 27.01.2022
Update: due to the current COVID situation, the midterm exam will be online!
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
* 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.
* 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: Fr 12.05.2023 00:13