Syllabus

Title
0598 Decision Models and Analysis (SC DMA)
Instructors
Assoz.Prof PD Dr. Emel Arikan Fichtinger, M.Sc., Univ.Prof. Mag.Dr. Gerald Reiner, Assoz.Prof PD Lena Silbermayr, Ph.D., Univ.Prof. Tina Wakolbinger, Ph.D.
Contact details
Type
FS
Weekly hours
4
Language of instruction
Englisch
Registration
09/27/21 to 09/29/21
Registration via LPIS
Notes to the course
Dates
Day Date Time Room
Wednesday 10/06/21 09:00 AM - 12:30 PM TC.5.01
Wednesday 10/13/21 08:00 AM - 12:00 PM TC.5.01
Wednesday 10/20/21 09:00 AM - 12:30 PM TC.5.01
Wednesday 10/27/21 09:00 AM - 12:30 PM TC.5.01
Wednesday 12/01/21 09:00 AM - 12:30 PM Online-Einheit
Wednesday 01/19/22 10:30 AM - 05:30 PM TC.5.01
Contents

In the seminar course, the major issues are the application of theoretical insights on SCM to real-world planning problems, and the critical discussion of results which are presented in the SCM literature. Students will work in teams on different real-world or theoretical problems, will develop solutions and present them to the study group.

The first four sessions will include lectures on following topics:

  • Decision criteria in optimization
  • Efficiency measurement with data envelopment analysis
  • System dynamics
  • Decision tools for project management

In the last three sessions, students will present their seminar projects.

Learning outcomes

After successful completion of the class, students should be able to

  • analyse and solve real SCM planning problems
  • develop and present solutions in a team
  • critically evaluate and discuss published results from the SCM literature
Attendance requirements

This semester, the course will take place in hybrid mode. For you, this means that the lessons are held in the lecture hall and parallel online (via MS Teams or ZOOM). Please note that your attendance at this course must be at least 80%.

The units should preferably be attended in person. Please only participate online in exceptional cases and / or if there are reasons for the current COVID situation

Teaching/learning method(s)
Autonomous group works, presentations, discussions
Assessment
  • Homework assignments (20%)
  • Seminar work progress presentation (10%)
  • Seminar work final presentation with discussant (20%)
  • Seminar paper (50%)

 

Grading scale:

(1) Excellent: 90% - 100%

(2) Good: 80% - <90%

(3) Satisfactory: 70% - <80%

(4) Sufficient: 60% - <70%

(5) Fail: <60%

Prerequisites for participation and waiting lists

Prerequisite SCM students:

  • successful completion of "Operations Research 1"

 

Incoming students (exchange programs):

  • studying a specifically supply chain related program
  • min 5 ECTS credits in operations research

 

Last edited: 2021-10-04



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