Universität Wien
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040668 VK KFK PM/SCM/TL: Inventory Management (2009W)

8.00 ECTS (4.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work

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).

Details

max. 50 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Wednesday 07.10. 08:30 - 10:00 Hörsaal 3
  • Thursday 08.10. 08:30 - 10:00 Hörsaal 11
  • Wednesday 14.10. 08:30 - 10:00 Hörsaal 3
  • Thursday 15.10. 08:30 - 10:00 Hörsaal 11
  • Wednesday 21.10. 08:30 - 10:00 Hörsaal 3
  • Thursday 22.10. 08:30 - 10:00 Hörsaal 11
  • Wednesday 28.10. 08:30 - 10:00 Hörsaal 3
  • Thursday 29.10. 08:30 - 10:00 Hörsaal 11
  • Wednesday 04.11. 08:30 - 10:00 Hörsaal 3
  • Thursday 05.11. 08:30 - 10:00 Hörsaal 11
  • Wednesday 11.11. 08:30 - 10:00 Hörsaal 3
  • Thursday 12.11. 08:30 - 10:00 Hörsaal 11
  • Wednesday 18.11. 08:30 - 10:00 Hörsaal 3
  • Thursday 19.11. 08:30 - 10:00 Hörsaal 11
  • Wednesday 25.11. 08:30 - 10:00 Hörsaal 3
  • Thursday 26.11. 08:30 - 10:00 Hörsaal 11
  • Wednesday 02.12. 08:30 - 10:00 Hörsaal 3
  • Thursday 03.12. 08:30 - 10:00 Hörsaal 11
  • Wednesday 09.12. 08:30 - 10:00 Hörsaal 3
  • Thursday 10.12. 08:30 - 10:00 Hörsaal 11
  • Wednesday 16.12. 08:30 - 10:00 Hörsaal 3
  • Thursday 17.12. 08:30 - 10:00 Hörsaal 11
  • Thursday 07.01. 08:30 - 10:00 Hörsaal 11
  • Wednesday 13.01. 08:30 - 10:00 Hörsaal 3
  • Thursday 14.01. 08:30 - 10:00 Hörsaal 11
  • Wednesday 20.01. 08:30 - 10:00 Hörsaal 3
  • Thursday 21.01. 08:30 - 10:00 Hörsaal 11
  • Wednesday 27.01. 08:30 - 10:00 Hörsaal 3
  • Thursday 28.01. 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

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