1934 Decision Analysis and Optimization (SC DAO)
Assoz.Prof PD Dr. Vera Hemmelmayr, Ass.Prof. Mag.Dr. Petra Staufer-Steinnocher
Weekly hours
Language of instruction
09/25/23 to 09/28/23
Registration via LPIS
Notes to the course
Day Date Time Room
Wednesday 10/04/23 09:00 AM - 12:30 PM TC.5.28
Wednesday 10/18/23 09:00 AM - 12:30 PM LC.-1.038
Wednesday 11/15/23 09:00 AM - 12:30 PM TC.5.28
Wednesday 12/20/23 09:00 AM - 12:30 PM TC.5.28

In this course, the major issues are the application of methodological and technical skills to real-world transportation and supply chain modeling problems with a focus on sustainability, and the critical discussion of results which are presented in the literature. Students are supposed to carry out projects in small teams in which they apply the relevant theories, methods and techniques, and learn to use appropriate software tools.

Main topics covered in case study projects are:

Sustainable transportation initiatives in the urban fringe
Shared mobility services (ride-, bike or carsharing)
Ride sharing models and platforms
Micro mobility solutions
Demand-responsive transportation in rural areas (shared vehicles, share journey)
Public transport optimization problems: timetabling; crew scheduling including employee’s preferences
Sustainable city logistic
Dynamic routing in cities
Mobility data collection and analysis
Students’ own topics

Learning outcomes

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

  • link theory to empirical research in the field
  • read literature in a critical way and discuss relevant topics
  • analyse and solve small-scale real-world problems in selected industries and businesses
  • develop and present solutions in a team
Attendance requirements

According to the examination regulation full attendance is intended for a PI. Absence in one unit is tolerated if a proper reason is given.

Teaching/learning method(s)
  • project team work
  • literature review
  • project management and seminar paper
  • presentations
  • discussions
  • case study coaching

Tasks (max. achievable points = 100)

  • active class participation and peer feedback (10)
  • case study projects development and documentation (70)
  • case study project presentations (20)

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

The successful completion of the course "Advanced Research Methods & Project Management" is the prerequisite for admission to this seminar.


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Recommended previous knowledge and skills

Participation is restricted to MSc SCM students.

Availability of lecturer(s)

Office hours: please, send email to and/or to make an appointment

Unit details
Unit Date Contents
1 S1


2 S2

Proposal presentation

3 S3

Progress report

4 S4

Final presentation

Last edited: 2023-10-04