Warning! The directory is not yet complete and will be amended until the beginning of the term.
040899 KU Production Analysis (MA) (2021W)
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 13.09.2021 09:00 to Th 23.09.2021 12:00
- Registration is open from Mo 27.09.2021 09:00 to We 29.09.2021 12:00
- Deregistration possible until Fr 15.10.2021 23:59
Details
max. 50 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Thursday 07.10. 13:15 - 14:45 Digital
- Thursday 14.10. 13:15 - 14:45 Digital
- Thursday 21.10. 13:15 - 14:45 Digital
- Thursday 28.10. 13:15 - 14:45 Digital
- Thursday 04.11. 13:15 - 14:45 Digital
- Thursday 11.11. 13:15 - 14:45 Digital
- Thursday 18.11. 13:15 - 14:45 Digital
- Thursday 25.11. 13:15 - 14:45 Digital
- Thursday 02.12. 13:15 - 14:45 Digital
- Thursday 09.12. 13:15 - 14:45 Digital
- Thursday 16.12. 13:15 - 14:45 Digital
- Thursday 13.01. 13:15 - 14:45 Digital
- Thursday 20.01. 13:15 - 14:45 Digital
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Thursday
27.01.
13:15 - 14:45
Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß - Thursday 27.01. 15:00 - 16:30 Hörsaal 11 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 (25%), Endterm exam (30%), Essay (15%), Case study (15%).
Homework, essay and case study submissions will be online via Moodle. The exams will be on-site, if possible.
Examination dates: Midterm - 02.12.2021; Endterm - 27.01.2022
Update: due to the current COVID situation, the midterm exam will be online!
Homework, essay and case study submissions will be online via Moodle. The exams will be on-site, if possible.
Examination dates: Midterm - 02.12.2021; Endterm - 27.01.2022
Update: due to the current COVID situation, the midterm exam will be online!
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
* 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.
* 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: Fr 12.05.2023 00:13