Syllabus

Title
1537 Advanced Methods and Tools in Supply Chain Analytics (AMT)
Instructors
Assoz.Prof PD Lena Silbermayr, Ph.D., Dr. Martin Waitz
Type
PI
Weekly hours
4
Language of instruction
Englisch
Registration
09/29/25 to 09/29/25
Anmeldung durch das Institut
Notes to the course
This class is only offered in winter semesters.
Dates
Day Date Time Room
Wednesday 10/08/25 01:30 PM - 06:00 PM D2.0.030
Friday 10/17/25 01:00 PM - 04:30 PM D2.0.030
Friday 10/24/25 01:00 PM - 04:30 PM D2.0.030
Wednesday 11/05/25 01:30 PM - 05:00 PM D2.0.030
Wednesday 11/12/25 01:00 PM - 04:30 PM D2.0.030
Friday 11/14/25 09:00 AM - 12:30 PM D2.0.030
Wednesday 11/19/25 09:00 AM - 12:30 PM D2.0.030
Wednesday 11/26/25 09:00 AM - 12:30 PM D2.0.030
Friday 12/12/25 09:00 AM - 12:30 PM D2.0.030
Friday 12/19/25 09:00 AM - 04:00 PM D2.0.030
Friday 01/23/26 10:00 AM - 04:00 PM D2.0.030
Contents

The course provides the basics of behavioral operation with applications to different supply chain management problems. The topics to be covered include:

  • cognitive biases in decision making and incorporation of biases into supply chain models
  • descriptive vs. prescriptive decisions: newsvendor model with behavioral factors
  • (dis-)advantages of different methods used in behavioral operations management (surveys and experiments)
  • designing, conducting and analyzing laboratory experiments
  • supplier-buyer interactions: classcial supply chain contracts and coordination (standard game theory)
  • behavioral game theory and social preferences like trust, fairness and reciprocity
  • inventory managament from a practical perspective
Learning outcomes
  • Become familiar with cognitive biases and concepts from psychology influencing decision making.
  • Understanding (dis-)advantages of different methods (surveys and experiments) to measure such biases and being able to apply them.
  • Review behavioral models that are able to explain those biases.
  • Review empirical research that shows how these biases can be discovered.
  • Become familiar with designing and conducting controlled laboratory experiments for testing analytical models.
  • Become familiar with behavioral game theory as a powerful tool for managerial decision-making in the supply chain.
  • Learn how to counteract biases in order to improve decision making.
Attendance requirements

Attendance is required in all sessions. Absence in one session is tolerated if a reasonable excuse is given before the session. 

Teaching/learning method(s)
  • Lectures with discussions
  • Literature review and case studies
  • Cognitive tests and experiments
Assessment

Case study (20 %)

InClass Assignments (30 %)

Homework Assignment (10 %)

Project (40 %)

Grading scale:

(1) Excellent: 90% - 100%

(2) Good: 80% - <90%

(3) Satisfactory: 70% - <80%

(4) Sufficient: 60% - <70%

(5) Fail: <60%

Readings

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Recommended previous knowledge and skills

Incoming students (exchange programs):

  • studying a supply chain related program
  • min 5 ECTS credits in operations research and/or management science 
Last edited: 2025-07-10



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