040899 KU Production Analysis (MA) (2021S)
Continuous assessment of course work
Labels
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).
- Registration is open from Th 11.02.2021 09:00 to Mo 22.02.2021 12:00
- Registration is open from Th 25.02.2021 09:00 to Fr 26.02.2021 12:00
- Deregistration possible until We 31.03.2021 23:59
Details
max. 50 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
Thursday
04.03.
13:15 - 14:45
Digital
Thursday
11.03.
13:15 - 14:45
Digital
Thursday
18.03.
13:15 - 14:45
Digital
Thursday
25.03.
13:15 - 14:45
Digital
Thursday
15.04.
13:15 - 14:45
Digital
Thursday
22.04.
13:15 - 14:45
Digital
Thursday
29.04.
13:15 - 14:45
Digital
Thursday
06.05.
13:15 - 14:45
Digital
Thursday
06.05.
15:00 - 16:30
Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Thursday
20.05.
13:15 - 14:45
Digital
Thursday
27.05.
13:15 - 14:45
Digital
Thursday
10.06.
13:15 - 14:45
Digital
Thursday
17.06.
13:15 - 14:45
Digital
Thursday
24.06.
13:15 - 14:45
Digital
Thursday
24.06.
15:00 - 16:30
Digital
Information
Aims, contents and method of the course
Assessment and permitted materials
Homework: 25%
Exam #1: 25%
Exam #2: 30 %
Essay: 20%
Exam #1: 25%
Exam #2: 30 %
Essay: 20%
Minimum requirements and assessment criteria
For a positive grade, students have to achieve at least 50 percent (overall score).
Examination topics
Lecture notes, literature excerpts, home assignments and presentation
Reading list
Course material (electronic):
- Course slides
- Book scans
- Course slides
- Book scans
Association in the course directory
Last modified: Tu 11.05.2021 13:47
- 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.Due to the current exceptional situation, and to allow for a maximum of predictability, the lessons, homework comparisons, and exams will be held online.