An Introduction to Data-Driven Supply Chain Resilience Management

RWTH Aachen University via edX

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Overview

This course introduces the concept of supply chain resilience through the lens of data-driven decision-making. It covers the strategic importance of building supply chains that can withstand disruptions caused by global events, natural disasters, or economic shifts. You will learn how to leverage data analytics, machine learning, and predictive modeling to identify vulnerabilities and optimize response strategies. The curriculum emphasizes real-world applications, including scenario planning, risk assessment, and dynamic resource allocation. Key topics include supply chain visibility, real-time monitoring, and...

Syllabus

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 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?