Universität Wien FIND

Due to the COVID-19 pandemic, changes to courses and exams may be necessary at short notice. Inform yourself about the current status on u:find and check your e-mails regularly.

Please read the information on https://studieren.univie.ac.at/en/info.

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