In case of Plan B, if it is not possible to do the lectures on the campus this course will be held in the hybrid mode. This means that the first session of the course 10/06/20 will be held in presence for students that are able to attend the lecture (depending on the number of participants the class will be divided in order to guarantee the maximum number of students per room for keeping the essential distance). At the same time, the course is streamed for all students who cannot be on campus (exchange students). The majority of the session will then be held via distance mode (videos, tutorials, slides and materials are provided online on learn). 

It is planned to hold  the exam in presence on the 05/11/20.

The lecture is structured as follows:

• Introduction to Supply Chain Managementand Supply Chain Performance: Achieving Strategic Fit and Scope
• Supply Chain Drivers and Metrics
• Demand Forecasting in a Supply Chain
• Inverted Classroom: Introduction to Linear Programming (Please bring your laptops to class in this and the following 2 sessions)
• Integer Programming and Aggregate Planning
• S&OP
• Game
• Coordination and IT

After successful completion of the module, students should have acquired an understanding of the basic principles and concepts of Supply Chain Management. The first  two lectures elaborates on this through the focus on performance measurement and drivers and metrics of SCs, then the focus shifts to demand forecasting before switching to an introduction on linear programming (LP) . In session 5, students become familiar with the concepts of Integer Programming and Aggregate Planning and in session 6 with Sales and Operations Planning followed by an educational game exemplifying the previously covered topics. The last lecture discusses coordination in SCM and the role of IT in the supply chain. Various cases enable the students to gain deep context knowledge and prepare them for applying their new skills in the business environment.

Attendance in the first lecture is mandatory for the participation in the course and SBWL. If an absence cannot be avoided inform the lecturers at  mhakimif@wu.ac.at  or romana.berariu@wu.ac.at  before class and provide some form of proof for the absence (e.g. medical confirmation) in the next session. In total, a minimum requirement for attendance of 80% is required to pass the course.

If the attendance falls below 80% for students receiving partial credit, students are graded with 5 (Nicht genügend). See further: Prüfungsordnung

Lectures, Case Studies, HW Assignments and In-Class Exercises

HW Assignments: 30%

Case Studies: 15% (10% write up, 5% max. 10 minute presentation)

Final Exam: 50 % 

Answers to Inverted Classroom video (due 11.3.2020 before the inverted classroom) 5%

Lectures start punctually. In case of in-class assignments, be aware that they are most likely to take place at the beginningof a lecture. If students are absent during the in-class assignments no make-up assignments are granted.

If a student misses the final exam, he or she can repeat the exam only if he or she provides sufficient proof of the necessity of the absence (illness, accident…). If the student misses a performance assessment worth less than 50% of the grade (e.g. a mid-term quiz), opportunities to repeat the assessment can be provided optionally by the lecturers and in any case require sufficient proof for the necessity of the absence as well.

Cooperation with other students on homework assignments is encouraged. However, the final write-up must be done individually. ‘Duplicate’ homeworkwrite-ups are unacceptable and will receive a score of zero. (Any homework thatis late will receive a score of zero.)

The final exam has to be passed with at least 50% of maximum points. (Passing the final exam is mandatory for positive evaluation of this course.)

Information for WU bachelor students (Not relevant for incoming students):

Organisatorische Fragen zur Zulassung/Aufnahme
Die Zulassung zur SBWL erfolgt durch das Institut für Transportwirtschaft und Logistik: ITL Homepage SBWl SNS

Fragen zur Aufnahme, die nicht bereits im Internet (Informationsseite der SBWL) beantwortet werden, richten Sie bitte per E-Mail an sbwl-sns@wu.ac.at

Inhaltliche Fragen zum Einstiegstest
Bei inhaltlichen Fragen zum Einstiegstest wenden Sie sich bitte an mhakimif@wu.ac.at

Alle Kurse der SBWL Supply Networks and Services können ausnahmslos nur nach positivem Abschluss des Zulassungsverfahrens besucht werden.

Mehdi Hakimifar:

mhakimif@wu.ac.at

Office hours on demand

Tutor:

Fabian Seeber

fabian.seeber@wu.ac.at