Universität Wien

040899 KU Production Analysis (MA) (2018S)

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

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 05.03. 13:15 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 19.03. 13:15 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 09.04. 13:15 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 16.04. 13:15 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 23.04. 13:15 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 30.04. 13:15 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 07.05. 13:15 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 14.05. 13:15 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 28.05. 13:15 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 04.06. 13:15 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 11.06. 13:15 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 18.06. 13:15 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 25.06. 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: Mo 07.09.2020 15:29