Syllabus

Title
0660 Decision Models and Analysis (SC DMA)
Instructors
Assoz.Prof PD Dr. Emel Arikan Fichtinger, M.Sc., Univ.Prof. Mag.Dr. Gerald Reiner, Univ.Prof. Tina Wakolbinger, Ph.D., Assoz.Prof PD Lena Silbermayr, Ph.D.
Contact details
Type
FS
Weekly hours
4
Language of instruction
Englisch
Registration
09/07/20 to 09/07/20
Registration via LPIS
Notes to the course
This class is only offered in winter semesters.
Dates
Day Date Time Room
Wednesday 10/07/20 09:00 AM - 12:30 PM TC.5.03
Wednesday 10/14/20 09:00 AM - 12:30 PM TC.4.03
Wednesday 10/21/20 09:00 AM - 12:30 PM TC.5.27
Wednesday 10/28/20 08:30 AM - 12:00 PM TC.5.01
Wednesday 12/02/20 08:30 AM - 12:00 PM Online-Einheit
Tuesday 01/19/21 10:30 AM - 05:30 PM Online-Einheit
Procedure for the course when limited activity on campus

The Seminar Course: Decision Models and Analysis will be held in a mixed mode: student presentations will be held completely online and the lectures will be in hybrid mode, i.e. there will be in-class teaching which you can participate physically or via a synchronous MS Teams session. Only if absolutely necessary this class would switch to full distance learning. The remote sessions will take place within the announced time slots via MS Teams.

The defined assignments will still be held in the regular format (also see syllabus section "Assessment"). In any case the conditions of the final exam will be the same for every class participant and, hence, in distance mode an online exam.

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

Full attendance in all the sessions is required. Absence in one unit is tolerated if a proper reason is given.

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: 2020-10-03



Back