040899 KU Production Analysis (MA) (2021S)
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 Do 11.02.2021 09:00 bis Mo 22.02.2021 12:00
- Anmeldung von Do 25.02.2021 09:00 bis Fr 26.02.2021 12:00
- Abmeldung bis Mi 31.03.2021 23:59
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
Art der Leistungskontrolle und erlaubte Hilfsmittel
Homework: 25%
Exam #1: 25%
Exam #2: 30 %
Essay: 20%
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
- Course slides
- Book scans
Zuordnung im Vorlesungsverzeichnis
Letzte Änderung: Fr 12.05.2023 00:13
- 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.