The course provides knowledge and tools of Optimization and Simulation for problems and challenges encountered in Supply Chain Analytics (SCA).

Topics include:

Part I (Optimization):

• Linear programming
• Discrete programming
• Nonlinear programming
• Network optimization
• Software tools for optimization (Optimization in R, various solvers)

Part II (Simulation):

• Data analysis (Sampling, Estimation, Hypothesis testing)
• Discrete event simulation

The grading of this course is based on 3 components, namely, group homework, individual assignements, as well as a final exam.

Details of the assessment:

• Homework exercises, 30 points (group work)
• In-class assignments, 20 points (individual work)
• Final exam, 50 points (individual work)

Grading scale:

•     Excellent (1): 90% - 100.0%

•     Good (2): 80% - <90%

•     Satisfactory (3): 70% - <80%

•     Sufficient (4): 60.0% - <70%

•     Fail (5): <60.0%

Prerequisite for passing the course: minimum performance of 40% (20 points) in the final examination.

Remark: Content from bridging course 2148 might be included in the assignments.

Students should be acquainted with the main concepts of optimization, probability and statistics.  Students are encouraged to take the bridging course "2418 - Bridging Course in Supply Chain Management: Foundation of Operations Research and Supply Chain Analytics" and review the preparatory material.

Please log in with your WU account to use all functionalities of read!t. For off-campus access to our licensed electronic resources, remember to activate your VPN connection connection. In case you encounter any technical problems or have questions regarding read!t, please feel free to contact the library at readinglists@wu.ac.at.

Boualem Rabta: by appointment boualem.rabta@wu.ac.at

Anton Pichler: by appointment anton.pichler@wu.ac.at

Program's website: www.wu.ac.at/master/scm