040899 KU Production Analysis (MA) (2023W)

8.00 ECTS (4.00 SWS), SPL 4 - Wirtschaftswissenschaften

Continuous assessment of course work

ON-SITE

See: http://prolog.univie.ac.at/teaching/LVAs/Production_Analysis/SS16/PAWS16.html

Moodle

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 11.09.2023 09:00 to Fr 22.09.2023 12:00
Registration is open from Tu 26.09.2023 09:00 to We 27.09.2023 12:00
Deregistration possible until Fr 20.10.2023 23:59

Details

max. 50 participants

Language: English

Lecturers

Classes (iCal) - next class is marked with N

    
    Wednesday
    04.10.
    08:00 - 09:30
    Hörsaal 9  Oskar-Morgenstern-Platz 1  1.Stock
    
    Thursday
    05.10.
    08:00 - 09:30
    Hörsaal 9  Oskar-Morgenstern-Platz 1  1.Stock
    
    Wednesday
    11.10.
    08:00 - 09:30
    Hörsaal 9  Oskar-Morgenstern-Platz 1  1.Stock
    
    Thursday
    12.10.
    08:00 - 09:30
    Hörsaal 9  Oskar-Morgenstern-Platz 1  1.Stock
    
    Wednesday
    18.10.
    08:00 - 09:30
    Hörsaal 9  Oskar-Morgenstern-Platz 1  1.Stock
    
    Thursday
    19.10.
    08:00 - 09:30
    Hörsaal 9  Oskar-Morgenstern-Platz 1  1.Stock
    
    Wednesday
    25.10.
    08:00 - 09:30
    Hörsaal 9  Oskar-Morgenstern-Platz 1  1.Stock
    
    Wednesday
    08.11.
    08:00 - 09:30
    Hörsaal 9  Oskar-Morgenstern-Platz 1  1.Stock
    
    Thursday
    09.11.
    08:00 - 09:30
    Hörsaal 9  Oskar-Morgenstern-Platz 1  1.Stock
    
    Wednesday
    15.11.
    08:00 - 09:30
    Hörsaal 9  Oskar-Morgenstern-Platz 1  1.Stock
    
    Thursday
    16.11.
    08:00 - 09:30
    Hörsaal 9  Oskar-Morgenstern-Platz 1  1.Stock
    
    Wednesday
    22.11.
    08:00 - 09:30
    Hörsaal 9  Oskar-Morgenstern-Platz 1  1.Stock
    
    Thursday
    23.11.
    08:00 - 09:30
    Hörsaal 11  Oskar-Morgenstern-Platz 1  2.Stock
Hörsaal 13  Oskar-Morgenstern-Platz 1  2.Stock
Hörsaal 9  Oskar-Morgenstern-Platz 1  1.Stock
    
    Wednesday
    29.11.
    08:00 - 09:30
    Hörsaal 9  Oskar-Morgenstern-Platz 1  1.Stock
    
    Thursday
    30.11.
    08:00 - 09:30
    Hörsaal 9  Oskar-Morgenstern-Platz 1  1.Stock
    
    Wednesday
    06.12.
    08:00 - 09:30
    Hörsaal 9  Oskar-Morgenstern-Platz 1  1.Stock
    
    Thursday
    07.12.
    08:00 - 09:30
    Hörsaal 9  Oskar-Morgenstern-Platz 1  1.Stock
    
    Wednesday
    13.12.
    08:00 - 09:30
    Hörsaal 9  Oskar-Morgenstern-Platz 1  1.Stock
    
    Thursday
    14.12.
    08:00 - 09:30
    Hörsaal 9  Oskar-Morgenstern-Platz 1  1.Stock
    
    Wednesday
    10.01.
    08:00 - 09:30
    Hörsaal 9  Oskar-Morgenstern-Platz 1  1.Stock
    
    Thursday
    11.01.
    08:00 - 09:30
    Hörsaal 9  Oskar-Morgenstern-Platz 1  1.Stock
    
    Wednesday
    17.01.
    08:00 - 09:30
    Hörsaal 9  Oskar-Morgenstern-Platz 1  1.Stock
    
    Thursday
    18.01.
    08:00 - 09:30
    Hörsaal 1  Oskar-Morgenstern-Platz 1  Erdgeschoß
    
    Wednesday
    24.01.
    08:00 - 09:30
    Hörsaal 9  Oskar-Morgenstern-Platz 1  1.Stock
    
    Thursday
    25.01.
    08:00 - 09:30
    Hörsaal 1  Oskar-Morgenstern-Platz 1  Erdgeschoß
Hörsaal 9  Oskar-Morgenstern-Platz 1  1.Stock
    
    Wednesday
    31.01.
    08:00 - 09:30
    Hörsaal 9  Oskar-Morgenstern-Platz 1  1.Stock

Information

Aims, contents and method of the course

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.

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)

Assessment and permitted materials

Homework (20%), Midterm exam (35%), Endterm exam (35%), Essay/Presentation (10%)
Examination dates: Midterm - 23.11.2023; Endterm - 18.01.2024
Presentation dates: 24.01.2024, 25.01.2024

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

Reading list

All materials are provided digitally, via Moodle.
* 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: We 10.01.2024 09:45