040668 VK KFK PM/SCM/TL: Inventory Management (2011W)
Continuous assessment of course work
Labels
Info: http://scm.univie.ac.at
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 05.09.2011 09:00 to We 21.09.2011 17:00
- Registration is open from Tu 27.09.2011 09:00 to We 28.09.2011 17:00
- Deregistration possible until Fr 14.10.2011 23:59
Details
max. 50 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Wednesday 05.10. 08:30 - 10:00 Hörsaal 3
- Thursday 06.10. 08:30 - 10:00 Hörsaal 11
- Wednesday 12.10. 08:30 - 10:00 Hörsaal 3
- Thursday 13.10. 08:30 - 10:00 Hörsaal 11
- Wednesday 19.10. 08:30 - 10:00 Hörsaal 3
- Thursday 20.10. 08:30 - 10:00 Hörsaal 11
- Thursday 27.10. 08:30 - 10:00 Hörsaal 11
- Thursday 03.11. 08:30 - 10:00 Hörsaal 11
- Wednesday 09.11. 08:30 - 10:00 Hörsaal 3
- Thursday 10.11. 08:30 - 10:00 Hörsaal 11
- Wednesday 16.11. 08:30 - 10:00 Hörsaal 3
- Thursday 17.11. 08:30 - 10:00 Hörsaal 11
- Wednesday 23.11. 08:30 - 10:00 Hörsaal 3
- Thursday 24.11. 08:30 - 10:00 Hörsaal 11
- Wednesday 30.11. 08:30 - 10:00 Hörsaal 3
- Thursday 01.12. 08:30 - 10:00 Hörsaal 11
- Wednesday 07.12. 08:30 - 10:00 Hörsaal 3
- Wednesday 14.12. 08:30 - 10:00 Hörsaal 3
- Thursday 15.12. 08:30 - 10:00 Hörsaal 11
- Wednesday 11.01. 08:30 - 10:00 Hörsaal 3
- Thursday 12.01. 08:30 - 10:00 Hörsaal 11
- Wednesday 18.01. 08:30 - 10:00 Hörsaal 3
- Thursday 19.01. 08:30 - 10:00 Hörsaal 11
- Wednesday 25.01. 08:30 - 10:00 Hörsaal 3
- Thursday 26.01. 08:30 - 10:00 Hörsaal 11
Information
Aims, contents and method of the course
This course focuses on inventory management under uncertainty. Standard inventory control models and approaches are presented for multi-period dynamic inventory models, multi-echelon models, and multi-product coordinated replenishment problems. Further, different approaches to data driven inventory policies are presented that address the availability of data and the estimation of model parameters. Several case studies are used to apply these concepts.
Assessment and permitted materials
Weekly home assignments (20%), term project (20%), midterm exam (30%), final exam (30%)
First session: October 7, 2009.
Final Exam: January 28, 2010
First session: October 7, 2009.
Final Exam: January 28, 2010
Minimum requirements and assessment criteria
The module enables the student to understand the major trade-offs of inventory decisions and to use data driven methods to recommend and implement modern inventory management concepts to practical problems.
Examination topics
The course consists of lectures that introduce inventory modeling techniques and challenging problems and exercises where computer programs are used to determine inventory control parameters. The course requires basis knowledge in statistics (discrete and continuous probability distributions) and Excel.
Reading list
Silver, E.A., Pyke, D.F., Peterson, R. (1998), Inventory Management and Production Planning and Scheduling, 3rd edition, Wiley.
Association in the course directory
Last modified: Mo 07.09.2020 15:29