Warning! The directory is not yet complete and will be amended until the beginning of the term.
040899 KU Production Analysis (MA) (2023S)
Continuous assessment of course work
Labels
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 13.02.2023 09:00 to We 22.02.2023 12:00
- Registration is open from Mo 27.02.2023 09:00 to Tu 28.02.2023 12:00
- Deregistration possible until Fr 17.03.2023 23:59
Details
max. 50 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
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.
- Wednesday 01.03. 15:00 - 16:30 Digital
- Wednesday 08.03. 15:00 - 16:30 Digital
- Wednesday 15.03. 15:00 - 16:30 Digital
- Wednesday 22.03. 15:00 - 16:30 Digital
- Wednesday 29.03. 15:00 - 16:30 Digital
- Wednesday 19.04. 15:00 - 16:30 Digital
- Wednesday 26.04. 16:45 - 18:15 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 26.04. 18:30 - 20:00 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 03.05. 15:00 - 16:30 Digital
- Wednesday 10.05. 15:00 - 16:30 Digital
- Wednesday 17.05. 15:00 - 16:30 Digital
- Wednesday 24.05. 15:00 - 16:30 Digital
- Wednesday 31.05. 15:00 - 16:30 Digital
- Wednesday 07.06. 15:00 - 16:30 Digital
- Wednesday 14.06. 15:00 - 16:30 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
- Wednesday 14.06. 16:45 - 18:15 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
- Wednesday 21.06. 15:00 - 16:30 Digital
- Wednesday 21.06. 16:45 - 18:15 Digital
- Wednesday 28.06. 15:00 - 16:30 Digital
- Wednesday 28.06. 16:45 - 18:15 Digital
Information
Aims, contents and method of the course
Assessment and permitted materials
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
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 and presentation
Reading list
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.
Association in the course directory
Last modified: Th 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.