Digital Twin and Blockchain Technology Empowered by AI: a New Paradigm for Sustainable Ship Spare Part Logistics

EasyChair Preprint 15252

Abstract

In maritime supply chain management, challenges such as material traceability, environmental sustainability, and economic efficiency significantly hinder effective materials management and limit the opportunities for recycling and reusing ship components. This study presents a framework that integrates blockchain technology (BT), smart contracts (SC), and artificial intelligence (AI) to address critical challenges in maritime supply chain management, such as material traceability, environmental sustainability, and economic efficiency. This framework represents a precursor to a more complex and advanced development. The main objective of the study is to analyze existing technologies and evaluate how they can be implemented more efficiently and practically in the maritime sector. The framework enhances the lifecycle management of ship components, promotes circular economy practices, and improves overall logistics operations. The integration of digital twin (DT) technology further supports real-time monitoring and decision-making, creating a scalable and adaptable ecosystem that optimizes resource use and maximizes residual value. The research outlines the potential benefits and practical implementation challenges of this advanced digital framework in the maritime sector, offering a pathway toward more sustainable and efficient supply chains.

Keyphrases: Artificial Intelligence, Blockchain Technology, Digital Twin, Marittime Supply Chain, circular economy, smart contracts

@booklet{EasyChair:15252,
  author    = {Marco Stella and Enrico Maria Mosconi and Mattia Gianvincenzi and Francesco Tola},
  title     = {Digital Twin and Blockchain Technology Empowered by AI: a New Paradigm for Sustainable Ship Spare Part Logistics},
  howpublished = {EasyChair Preprint 15252},
  year      = {EasyChair, 2024}}