Following up on the contents of the classes on “Academic Writing” in the first semester, this class delves deeper into academic research methods. Specific methods and their applications are explained in detail, i.e.

• Introduction to operations and supply chain management research
• Multi criteria decision making
• Data Envelopment Analysis
• System dynamics

We will employ tools such as Excel, R, Vensim, and DEAOS.

After completion of this course, students have a basic understanding of how research in Supply Chain Management is conducted. They are able to formulate a research question, and recognize the existence of different research methods.

Students will gain a detailed understanding of selected quantitative research methods, become familiar with supporting computational tools, and be able to apply those in relevant problem settings.

Attendance in all sessions (full presence) is mandatory.

Lecture, classroom discussions, assignments

Assessment will be based on three homework assignments where each assignment corresponds to one third of the final grade.

Grading scale:

• Excellent (1): 90.0% - 100.0%
• Good (2): 80.0% - <90.0%
• Satisfactory (3): 70.0% - <80.0%
• Sufficient (4): 60.0% - <70.0%
• Fail (5): <60.0%

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