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EC4 - AI and Blockchain for Circular Supply Chain Management 

Smarter circular supply chains through AI, blockchain, and responsible data use.

Credits

6 ECTS

Semester

2 Semester

Delivery

Online

Duration

13 weeks

Language

English

About This Course

This is a second-semester course in the MBA in Digital Deep Tech Driven Circular Economy
This postgraduate course examines how artificial intelligence and blockchain can be used to enable efficient, transparent, and sustainable circular supply chains. It focuses on applying tools such as predictive analytics, digital twins, and smart contracts to improve traceability, optimise material flows, and reduce waste across product lifecycles. Through applied examples and case studies, students develop the technical, analytical, and ethical skills needed to design and manage AI and blockchain-driven supply chain solutions aligned with circular economy principles.

What You Will Learn


Circular Supply Chain Foundations

  • Principles of circular supply chain management
  • Strategies for resource efficiency and closed-loop logistics
  • Role of digital technologies in enabling circular supply networks


AI & Blockchain for Supply Chain Innovation

  • Applications of AI for forecasting, optimisation, and waste reduction
  • Blockchain technologies for supply-chain transparency and traceability
  • Integration of digital twins, IoT, and distributed ledgers in logistics systems


Governance, Data & Digital Trust

  • Ethical AI and responsible blockchain deployment

  • Data governance, privacy, and interoperability standards

  • International standards supporting trusted digital supply chains

Your 13-Week Journey

Here’s how your learning unfolds

Week 1 – Circular Supply Chain Foundations

Understanding circular supply chains, enablers, barriers, and digital transformation drivers.

Week 2 – Artificial Intelligence in Supply Chains

Using AI for forecasting, optimisation, and data-driven circular decisions.

Week 3 – Blockchain Technology Fundamentals

Exploring blockchain for secure, transparent, and trusted supply-chain data.

Week 4 – Integrating AI and Blockchain

Combining intelligence and decentralisation for real-time circular supply chains.

Week 5 – Traceability Across Product Lifecycles

Ensuring provenance, transparency, and lifecycle visibility with digital tools.

Week 6 – Predictive Analytics for Waste Reduction

Applying AI to minimise waste and improve resource efficiency.

Week 7 – Smart Contracts for Sustainability

Automating sustainable transactions and compliance in circular supply chains.

Week 8 – Digital Twins and Resource Optimisation

Modelling circular supply networks to optimise flows and performance.

Week 9 – Data Governance and Ethical AI

Managing data, privacy, and ethical challenges in digital supply chains.

Week 10 – AI and Blockchain Case Studies

Analysing real world applications in circular logistics and reverse flows.

Week 11 – Measuring Circularity with Digital Metrics

Using digital indicators to assess circular and environmental performance.

Week 12 – Challenges and Future Trends

Addressing adoption barriers and emerging innovations in circular supply chains.

Week 13 – Standards for AI and Blockchain

Applying international standards for trust, interoperability, and sustainability.


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