Universität Wien FIND
Warning! The directory is not yet complete and will be amended until the beginning of the term.

040899 KU Production Analysis (MA) (2019S)

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

Details

max. 50 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

Monday 04.03. 13:15 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Monday 11.03. 13:15 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Monday 18.03. 13:15 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Monday 25.03. 13:15 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Monday 01.04. 13:15 - 16:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Monday 08.04. 13:15 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Monday 29.04. 13:15 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Monday 06.05. 13:15 - 14:50 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Monday 06.05. 13:15 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Monday 13.05. 13:15 - 16:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Monday 20.05. 13:15 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Monday 27.05. 13:15 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Monday 03.06. 13:15 - 16:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Monday 17.06. 13:15 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Monday 24.06. 13:15 - 16:30 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

Exam #1: 25%
Exam #2: 30 %
Exam #3: 35 %
Homework: 10 %

Minimum requirements and assessment criteria

For a positive grade, students have to achieve at least 50 points (overall score).

Examination topics

Lecture notes, literature excerpts, home assignments

Reading list

Course material (electronic):
- Course slides
- Book scans

Association in the course directory

Last modified: Fr 06.09.2019 09:47