An Introduction to Data-Driven Supply Chain Resilience Management

Globalization, off-shoring and the just in time paradigm have created vulnerable supply chains that are suffering from unprecedented shocks like COVID-19 and increasing disruptions from climate change. The "chip-crisis" cost the automotive industry alone more than 200 billion in revenues and the low water in Germany is costing the industry hundreds of millions.
This course is designed for students and practitioners to gain an understanding of some theoretical background of supply chain resilience as well as practical measures to prepare their companies for supply chain disruptions. The course describes data-driven or AI-based concepts for supply chain resilience management.

Week 1: Basics of Supply Chain Resilience:
What are disruptions
Two dimensions to understand a disruption
Why is it difficult to plan ahead for disruptions
Definition of supply chain resilience
* The 4 phases of resilience

- Week 2: Resilience measures:
Key resilience capabilities
What are typical resilience measures?
What measures are applied in the real world?
How do measures differ by industry?
The example of Ericsson
SPAICER and their use cases

- Week 3: Measurement of resilience:
Why is measurement of resilience important?
The zone of balanced resilience
How to measure resilience in different ways?
Current research in SCRES measurement
Introducing 3 different resilience indices (Capability-driven, simulation-based and vulnerability-based)
How can AI help in measuring resilience?

- Week 4: Continuous resilience management:
Introduction to the resilience management framework
The zone of balanced resilience as the goal of resilience management
Resilient management in companies
The week in the life of a resilience manager
How can effective resilience management mitigate damage from disruptions?
Quantitative and qualitative benefits?