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Dr J Connolly

1 year ago

Blockchain and AI-Enabled Traceability for Sustainable Supply Chains Ulster University - Magee Campus in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Fully Funded

Deadline

Expired

Country flag

Country

United Kingdom

University

Ulster University - Belfast Campus

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Keywords

Computer Science
Environmental Science
Mathematics
Statistical Analysis
Artificial Intelligence
Supply Chain Management
Blockchain Technology
Accountability
Traceability

About this position

This PhD project aims to revolutionize sustainable supply chain management by integrating blockchain and artificial intelligence (AI) to enhance transparency, traceability, and accountability. In complex, multi-stakeholder supply chains, it is often difficult to verify the origin, environmental impact, and ethical standards of products. Blockchain provides an immutable, decentralised record of each stage in the supply chain, from raw material sourcing to delivery, while AI analyzes this data to predict and verify sustainability metrics, such as carbon footprint, energy use, and waste generation.

Despite the potential of these technologies, implementing them at scale involves key challenges. Supply chain data often exists in disparate systems, making integration complex; there is a need for standardised metrics to ensure data accuracy, and processing data in real time requires robust AI-driven solutions. This project will develop an interoperable blockchain framework to unify supply chain data, employ AI algorithms for accurate sustainability tracking, and deliver real-time insights that support proactive decision-making.

Aligned with the United Nations Sustainable Development Goal (SDG) 12: Responsible Consumption and Production, this research will foster a more sustainable and transparent supply chain system. It will empower suppliers, manufacturers, and consumers to make informed, responsible choices by providing verified environmental data on products. Ultimately, this project will drive the adoption of sustainable practices, encourage transparency across industries, and enable consumers to support environmentally responsible production.

Objectives: 1. Develop an interoperable blockchain framework for seamless data integration across supply chains. 2. Build AI-driven algorithms to ensure accurate, reliable tracking of sustainability metrics. 3. Implement real-time analytics for resource optimisation, reducing waste and energy use. 4. Create consumer-facing transparency tools for verified sustainability information, encouraging responsible consumption.

Funding details

Fully Funded

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Professors

School of Computing, Engineering and Intelligent Systems

University Name
Country flag

United Kingdom

Research Interests

Artificial Intelligence

Supply Chain Management

Statistical Analysis

Environmental Science

Traceability