040899 KU Production Analysis (MA) (2022S)
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 Mo 07.02.2022 09:00 to Mo 21.02.2022 23:59
- Registration is open from Th 24.02.2022 09:00 to Fr 25.02.2022 23:59
- Deregistration possible until Mo 14.03.2022 23:59
Details
max. 50 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Monday 07.03. 13:15 - 14:45 Digital
- Monday 14.03. 13:15 - 14:45 Digital
- Monday 21.03. 13:15 - 14:45 Digital
- Monday 28.03. 13:15 - 14:45 Digital
- Monday 04.04. 13:15 - 14:45 Digital
- Monday 25.04. 13:15 - 14:45 Digital
-
Monday
02.05.
13:15 - 14:45
Hörsaal 15 Oskar-Morgenstern-Platz 1 2.Stock
Hörsaal 16 Oskar-Morgenstern-Platz 1 2.Stock - Monday 09.05. 13:15 - 14:45 Digital
- Monday 16.05. 13:15 - 14:45 Digital
- Monday 23.05. 13:15 - 14:45 Digital
- Monday 30.05. 13:15 - 14:45 Digital
- Monday 20.06. 13:15 - 14:45 Digital
- Monday 27.06. 11:30 - 13:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
-
Monday
27.06.
13:15 - 14:45
Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Information
Aims, contents and method of the course
Assessment and permitted materials
Homework (15%), Midterm exam (30%), Endterm exam (35%), Essay (10%), Case study (10%).
Essay and case study submissions will be online via Moodle. The exams will be on-site, if possible.
Examination dates: Midterm - 02.05.2022; Endterm - 27.06.2022
Essay and case study submissions will be online via Moodle. The exams will be on-site, if possible.
Examination dates: Midterm - 02.05.2022; Endterm - 27.06.2022
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)
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 and presentation
Reading list
Course material (electronic):
- Course slides
- Book scans* 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.
- Course slides
- Book scans* 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: Th 11.05.2023 11:27
- 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.