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040668 VK KFK PM/SCM/TL: Inventory Management (2008W)

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

ACHTUNG ÄNDERUNG DER KURSZEITEN
MI 08:30-10:00 UHR HS 3; 18:00-20:00 UHR HS 7
Die nächste Einheit findet wieder am 22.10.2008 statt.

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first serve).

Details

max. 50 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

Wednesday 01.10. 08:30 - 10:00 Hörsaal 3
Wednesday 08.10. 08:30 - 10:00 Hörsaal 3
Wednesday 15.10. 08:30 - 10:00 Hörsaal 3
Wednesday 22.10. 08:30 - 10:00 Hörsaal 3
Wednesday 22.10. 18:00 - 20:00 Hörsaal 7
Wednesday 29.10. 08:30 - 10:00 Hörsaal 3
Wednesday 29.10. 18:00 - 20:00 Hörsaal 7
Wednesday 05.11. 08:30 - 10:00 Hörsaal 3
Wednesday 05.11. 18:00 - 20:00 Hörsaal 7
Wednesday 12.11. 08:30 - 10:00 Hörsaal 3
Wednesday 12.11. 18:00 - 20:05 Hörsaal 7
Wednesday 19.11. 08:30 - 10:00 Hörsaal 3
Wednesday 19.11. 18:00 - 20:00 Hörsaal 7
Wednesday 26.11. 08:30 - 10:00 Hörsaal 3
Wednesday 26.11. 18:00 - 20:00 Hörsaal 5
Wednesday 03.12. 08:30 - 10:00 Hörsaal 3
Wednesday 03.12. 18:00 - 20:00 Hörsaal 7
Wednesday 10.12. 08:30 - 10:00 Hörsaal 3
Wednesday 10.12. 18:00 - 20:00 Hörsaal 7
Wednesday 17.12. 08:30 - 10:00 Hörsaal 3
Wednesday 17.12. 18:00 - 20:00 Hörsaal 7
Wednesday 07.01. 08:30 - 10:00 Hörsaal 3
Wednesday 07.01. 18:00 - 20:00 Hörsaal 5
Wednesday 14.01. 08:30 - 10:00 Hörsaal 3
Wednesday 14.01. 18:00 - 20:00 Hörsaal 7
Wednesday 21.01. 08:30 - 10:00 Hörsaal 3
Wednesday 21.01. 18:00 - 20:00 Hörsaal 7
Wednesday 28.01. 08:30 - 10:00 Hörsaal 3
Wednesday 28.01. 18:00 - 20:00 Hörsaal 7

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 (15%), programming exercises (15%), midterm exam (30%), final exam (40%)
First session: October 1st, 2008.
Final Exam: Friday, January 30st, 2009

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. In parts of the course, a mathematical standard software (Matlab) will be used.

Reading list

Silver, E.A., Pyke, D.F., Peterson, R. (1998), Inventory Management and Production Planning and Scheduling, 3rd edition, Wiley.
A supplementary reading list will be distributed after the start of the course.

Association in the course directory

Last modified: Mo 07.09.2020 15:29