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040899 KU Production Analysis (MA) (2021S)

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

See: http://prolog.univie.ac.at/teaching/LVAs/Production_Analysis/SS17/PASS17.html
Moodle

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

  • Donnerstag 04.03. 13:15 - 14:45 Digital
  • Donnerstag 11.03. 13:15 - 14:45 Digital
  • Donnerstag 18.03. 13:15 - 14:45 Digital
  • Donnerstag 25.03. 13:15 - 14:45 Digital
  • Donnerstag 15.04. 13:15 - 14:45 Digital
  • Donnerstag 22.04. 13:15 - 14:45 Digital
  • Donnerstag 29.04. 13:15 - 14:45 Digital
  • Donnerstag 06.05. 13:15 - 14:45 Digital
  • Donnerstag 06.05. 15:00 - 16:30 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Donnerstag 20.05. 13:15 - 14:45 Digital
  • Donnerstag 27.05. 13:15 - 14:45 Digital
  • Donnerstag 10.06. 13:15 - 14:45 Digital
  • Donnerstag 17.06. 13:15 - 14:45 Digital
  • Donnerstag 24.06. 13:15 - 14:45 Digital
  • Donnerstag 24.06. 15:00 - 16:30 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.

Due to the current exceptional situation, and to allow for a maximum of predictability, the lessons, homework comparisons, and exams will be held online.

Art der Leistungskontrolle und erlaubte Hilfsmittel

Homework: 25%
Exam #1: 25%
Exam #2: 30 %
Essay: 20%

Mindestanforderungen und Beurteilungsmaßstab

For a positive grade, students have to achieve at least 50 percent (overall score).

Prüfungsstoff

Lecture notes, literature excerpts, home assignments and presentation

Literatur

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

Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Fr 12.05.2023 00:13