Syllabus

Title
1703 Decision Analysis and Optimization (SC DAO)
Instructors
Assoz.Prof PD Dr. Vera Hemmelmayr, Ass.Prof. Mag.Dr. Petra Staufer-Steinnocher
Type
FS
Weekly hours
2
Language of instruction
Englisch
Registration
09/27/24 to 09/27/24
Registration via LPIS
Notes to the course
Dates
Day Date Time Room
Wednesday 10/02/24 09:00 AM - 12:30 PM TC.3.09
Wednesday 11/13/24 09:00 AM - 12:30 PM TC.4.14
Wednesday 12/18/24 09:00 AM - 12:30 PM TC.4.13
Contents

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

Absence in one unit can be 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
Assessment

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%

Important note
There is the possibility to get up to a total of 4 points on the overall grade (per seminar and semester) if you participate in Speaker Series events:

- max. 2 points for 1 short summary (practitioner presentation)
- max. 2 points for 1 short summary (academic presentation)

https://www.wu.ac.at/en/scm/events/speaker-series/

 

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.

Readings

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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 petra.staufer@wu.ac.at and/or vera.hemmelmayr@wu.ac.at to make an appointment

Unit details
Unit Date Contents
1 S1

Kickoff

2 S2

Proposal presentation

3 S3

Final presentation

Last edited: 2024-09-19



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