Designing Intelligent Self-Healing Supply Chains

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Designing Intelligent Self-Healing Supply Chains

This course is part of AI for Intelligent Operations Management Specialization

Instructor: TSV Learning

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2 modules

Gain insight into a topic and learn the fundamentals.

4 hours to complete

Flexible schedule

Learn at your own pace

2 modules

Gain insight into a topic and learn the fundamentals.

4 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Analyze how AI, IoT, digital twins, and demand sensing enable resilient, self-healing supply chain operations.
Design scalable self-healing supply chains using automation, cloud architecture, governance, and cybersecurity controls.
Evaluate supply chain performance and plan the progression from predictive and prescriptive systems to autonomous operations.

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This course is part of the AI for Intelligent Operations Management Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

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There are 2 modules in this course

Build the knowledge to design resilient, AI-powered supply chains that detect disruptions, evaluate alternatives, and support real-time recovery. This course explores self-healing supply chain management using AI, machine learning, reinforcement learning, IoT, digital twins, intelligent automation, and cloud-native architecture.

Designed for supply chain, operations, technology, and transformation professionals, the course examines demand sensing, multi-echelon inventory optimization, dynamic safety stock, supplier collaboration, and AI agents. You’ll evaluate manufacturing, pharmaceutical cold-chain, and retail applications while exploring explainable AI, human oversight, cybersecurity, edge computing, API integration, regulatory traceability, sustainability, and circular inventory flows. You’ll learn to design scalable self-healing systems, establish governance guardrails and performance metrics, and evaluate strategies for omnichannel optimization and geopolitical resilience. By the end, you’ll be able to plan a phased progression from real-time visibility to predictive, prescriptive, and autonomous supply chain operations.

This module examines how demand sensing, inventory optimization, AI agents, IoT, digital twins, and cloud-native architecture enable supply chains to detect disruptions and execute corrective actions. Learners evaluate manufacturing, retail, and cold-chain applications while exploring machine learning, cybersecurity, sustainability, and circular inventory flows.

What's included

4 videos3 assignments

4 videosTotal 26 minutes

Introduction to Self-Healing Supply Chains8 minutes
AI Techniques for Self-Healing Systems8 minutes
Self-Healing Manufacturing Case Study4 minutes
Cloud Architecture for Self-Healing Systems6 minutes

3 assignmentsTotal 50 minutes

Foundations and Design of Self-Healing Supply Chains30 minutes
Understanding AI-Driven Supply Chain Recovery10 minutes
From Manufacturing Applications to Cloud Architecture10 minutes

This module focuses on designing, governing, scaling, and measuring intelligent supply chain systems. Learners examine explainable AI, human oversight, edge computing, API integration, regulatory traceability, omnichannel optimization, geopolitical resilience, performance metrics, and the phased transition to autonomous operations.

What's included

4 videos3 assignments

4 videosTotal 20 minutes

Self-Healing System Design Principles5 minutes
Scaling Self-Healing Systems6 minutes
Future of Intelligent Process Automation5 minutes
Measuring Intelligent Process Performance5 minutes

3 assignmentsTotal 50 minutes

Scaling and Optimizing Intelligent Operations30 minutes
Designing and Scaling Resilient Systems10 minutes
The Future and Performance of Intelligent Automation10 minutes

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Instructor

TSV Learning

The Skill Valley

83 Courses544 learners

Offered by

The Skill Valley

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