Facts about the course
- ECTS Credits:
- 2.5
- Responsible department:
- Faculty of Logistics
- Course Leader:
- Arild Hoff
- Lecture Semester:
- Autumn
- Teaching language:
- English
- Duration:
- ½ year
LOG904-178 Supply Chain Resilience (Autumn 2023)
About the course
Increased interest in supply chain risks and resilience is usually born out of a crisis. The COVID-19 pandemic has been a stress-test for supply chain resilience unveiling missing preparedness and insufficient recovery capabilities across different industries and sectors. Business and governments recognized an urgent need to review resilience of supply chains and enhance their resilience for future. This course offers a concise yet comprehensive introduction to supply chain resilience, covering management, modeling and technology perspectives. Designed and conducted by a renowned expert and thought-leader in supply chain resilience, Prof. Dr. Dr. habil. Dmitry Ivanov from Berlin School of Economics and Law, the author of over 120 academic papers on supply chain resilience and the book “Introduction to Supply Chain Resilience”, it addresses the topics of supply chain risks and resilience in more depth, describing the major features of supply chain resilience and explaining how to mitigate supply chain disruptions and recover. Numerous practical examples and short case studies are provided to illustrate theoretical concepts. A special focus is directed on the Digital Supply Chain and resilience modeling and management by digital twins using anyLogistix supply chain software. The COVID-19 pandemic is specifically considered throughout the course. The course explains major concepts and methods to build and improve supply chain resilience and tackle supply chain disruption risks in a simple, uniform format to make it easy to understand for students
The course is connected to the following study programs
- Master of Science in Logistics
- Experience-based Master in Logistics
- Master of Science in Sustainable Energy Logistics
- Exchange programme - Master's level
- Master of Science in Sustainable Transport and Urban Mobility
Recommended requirements
No previous knowledge of the topic is necessary.
The student's learning outcomes after completing the course
Knowledge
Structured, didactically oriented and concise presentation of the concepts, principles and methods of supply chain resilience management, modeling, and technological implementation.
Skills:
Techniques to assess supply chain resilience and model it in anyLogistix
General competence:
Managing supply chains under risk and uncertainty
Forms of teaching and learning
Our lectures will introduce the concepts and challenges associated supply chain resilience. Case studies will facilitate student-led discussion. anyLogistix simulation software will be used to illustrate practical context.
Examination
Form of assessment: Home assessment with presentation
-
Proportion: 50 %
-
Duration: Fri 9-12 (to?)
-
Grouping: Individually or group
-
Grading scale: Letter (A - F)
-
Support material:
All printed and written supporting material
Ivanov D. (2021) Introduction to Supply Chain Resilience, Springer Nature, Cham, ISBN 978-3-030-70490-2
Ivanov D., Tsipoulanidis, A., Schönberger, J. (2021) Global Supply Chain and Operations Management: A decision-oriented introduction into the creation of value, Springer Nature, Cham, 3rd Ed. (Chapters 4 and 15)
Form of assessment: Home assessment without presentation
-
Proportion: 50 %
-
Duration: -
-
Grouping: Individually or group
-
Grading scale: Letter (A - F)
-
Support material:
All printed and written supporting material
Ivanov D. (2021) Introduction to Supply Chain Resilience, Springer Nature, Cham, ISBN 978-3-030-70490-2
Ivanov D., Tsipoulanidis, A., Schönberger, J. (2021) Global Supply Chain and Operations Management: A decision-oriented introduction into the creation of value, Springer Nature, Cham, 3rd Ed. (Chapters 4 and 15)