Universität Wien
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040899 KU Production Analysis (MA) (2023S)

8.00 ECTS (4.00 SWS), SPL 4 - Wirtschaftswissenschaften
Prüfungsimmanente Lehrveranstaltung

An/Abmeldung

Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").

Details

max. 50 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

First session has compulsory attendance. If you are not present, you will lose your place in the course so that students from the waiting list can get a place.
The timeframe of the last two sessions (21.06. and 28.06.) is tentative, depending on the number of students.

  • Mittwoch 01.03. 15:00 - 16:30 Digital
  • Mittwoch 08.03. 15:00 - 16:30 Digital
  • Mittwoch 15.03. 15:00 - 16:30 Digital
  • Mittwoch 22.03. 15:00 - 16:30 Digital
  • Mittwoch 29.03. 15:00 - 16:30 Digital
  • Mittwoch 19.04. 15:00 - 16:30 Digital
  • Mittwoch 26.04. 16:45 - 18:15 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Mittwoch 26.04. 18:30 - 20:00 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Mittwoch 03.05. 15:00 - 16:30 Digital
  • Mittwoch 10.05. 15:00 - 16:30 Digital
  • Mittwoch 17.05. 15:00 - 16:30 Digital
  • Mittwoch 24.05. 15:00 - 16:30 Digital
  • Mittwoch 31.05. 15:00 - 16:30 Digital
  • Mittwoch 07.06. 15:00 - 16:30 Digital
  • Mittwoch 14.06. 15:00 - 16:30 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Mittwoch 14.06. 16:45 - 18:15 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Mittwoch 21.06. 15:00 - 16:30 Digital
  • Mittwoch 21.06. 16:45 - 18:15 Digital
  • Mittwoch 28.06. 15:00 - 16:30 Digital
  • Mittwoch 28.06. 16:45 - 18:15 Digital

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

Contents (key words):
- Disaggregation
- Master Production Scheduling (MPS)
- Material Requirements Planning (MRP)
- Just-in-Time (JIT)
- Load-dependent order release (BOA)
- Single machine scheduling
- Job shop scheduling
- Project scheduling (PERT)
- Advanced Planning and Scheduling Systems (APS)

Course Description:
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 (21%), Midterm test(35%), Endterm test(35%), Paper reading and presentation (9%).
The tests will be on-site.
Test dates: Midterm - 26.04.2023; Endterm - 14.06.2023

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)

Prüfungsstoff

Lecture notes, literature excerpts, home assignments and presentation

Literatur

Course material (electronic):
- Course slides
- Book scans

* 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