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040899 KU Production Analysis (MA) (2022S)

8.00 ECTS (4.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work
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).

Details

max. 50 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

Monday 07.03. 13:15 - 14:45 Digital
Monday 14.03. 13:15 - 14:45 Digital
Monday 21.03. 13:15 - 14:45 Digital
Monday 28.03. 13:15 - 14:45 Digital
Monday 04.04. 13:15 - 14:45 Digital
Monday 25.04. 13:15 - 14:45 Digital
Monday 02.05. 13:15 - 14:45 Hörsaal 15 Oskar-Morgenstern-Platz 1 2.Stock
Hörsaal 16 Oskar-Morgenstern-Platz 1 2.Stock
Monday 09.05. 13:15 - 14:45 Digital
Monday 16.05. 13:15 - 14:45 Digital
Monday 23.05. 13:15 - 14:45 Digital
Monday 30.05. 13:15 - 14:45 Digital
Monday 20.06. 13:15 - 14:45 Digital
Monday 27.06. 11:30 - 13:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
Monday 27.06. 13:15 - 14:45 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock

Information

Aims, contents and method of the course

Contents (key words):
- 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.

Assessment and permitted materials

Homework (15%), Midterm exam (30%), Endterm exam (35%), Essay (10%), Case study (10%).
Essay and case study submissions will be online via Moodle. The exams will be on-site, if possible.
Examination dates: Midterm - 02.05.2022; Endterm - 27.06.2022

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)

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.

Association in the course directory

Last modified: Th 01.12.2022 14:28