040899 KU Production Analysis (MA) (2023S)
Prüfungsimmanente Lehrveranstaltung
Labels
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Mo 13.02.2023 09:00 bis Mi 22.02.2023 12:00
- Anmeldung von Mo 27.02.2023 09:00 bis Di 28.02.2023 12:00
- Abmeldung bis Fr 17.03.2023 23:59
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
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
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)
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.
- 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
- 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.