Warning! The directory is not yet complete and will be amended until the beginning of the term.
040899 KU Production Analysis (MA) (2022W)
Continuous assessment of course work
Labels
MIXED
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Mo 12.09.2022 09:00 to Fr 23.09.2022 12:00
- Registration is open from We 28.09.2022 09:00 to Th 29.09.2022 12:00
- Deregistration possible until Fr 14.10.2022 23:59
Details
max. 50 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
Examination dates on-site: 30.11., 25.01.
- Wednesday 05.10. 15:00 - 17:00 Digital
- Wednesday 12.10. 15:00 - 17:00 Digital
- Wednesday 19.10. 15:00 - 17:00 Digital
- Wednesday 09.11. 15:00 - 17:00 Digital
- Wednesday 16.11. 15:00 - 17:00 Digital
- Wednesday 23.11. 15:00 - 17:00 Digital
- Wednesday 30.11. 15:00 - 18:15 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Wednesday 07.12. 15:00 - 17:00 Digital
- Wednesday 14.12. 15:00 - 17:00 Digital
- Wednesday 11.01. 15:00 - 17:00 Digital
- Wednesday 18.01. 15:00 - 17:00 Digital
- Wednesday 25.01. 15:00 - 18:15 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Information
Aims, contents and method of the course
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.
Assessment and permitted materials
Homework (15%), Midterm exam (35%), Endterm exam (40%), Essay (10%).
Homework and essay submissions will be online via Moodle. The exams will be on-site.
Examination dates: Midterm - 30.11.2022; Endterm - 25.01.2023
Homework and essay submissions will be online via Moodle. The exams will be on-site.
Examination dates: Midterm - 30.11.2022; Endterm - 25.01.2023
Minimum requirements and assessment criteria
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)
Examination topics
Lecture notes, literature excerpts, home assignments
Reading list
All materials are provided digitally, via Moodle.
* 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.
* 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.
Association in the course directory
Last modified: Th 11.05.2023 11:27