Developing a Blockchain Based Supply Chain CO2 Footprint Tracking Framework Enabled by IoT

In various industries, the convergence of the Internet of Things (IoT) and blockchain technologies has left an indelible mark on the pursuit of decarbonization. These innovations have seamlessly integrated into diverse fields, from manufacturing to logistics, offering sustainable solutions that enhance operational efficiency, transparency, and accountability. The interplay between IoT and blockchain has particularly contributed to the reduction of carbon footprints, fostering environmentally responsible practices. As industries embrace these technologies, the decentralized and transparent nature of blockchain ensures traceability in supply chains, while IoT devices facilitate real-time data monitoring. Together, they create a powerful synergy that not only streamlines processes but also drives a collective commitment to reducing environmental impact, marking a paradigm shift towards greener and more sustainable industries. Within this landscape, this research offers a comprehensive exploration of the transformative potential of blockchain in supply chain management, emphasizing its intricate connection with IoT and carbon footprint reduction. The conceptual model presented delineates the seamless integration of these elements, providing a nuanced understanding of how blockchain can revolutionize transparency and sustainability. Through practical examples and a layered diagram, it showcases the tangible benefits of this integration, highlighting its capacity to enhance data integrity and transparency in real-world supply chain scenarios. The research stands as a testament to the instrumental role that blockchain can play in fostering environmentally responsible practices within supply chains, laying the groundwork for a more sustainable future.

@article{Mofatteh2024,
  title     = {Developing a Blockchain Based Supply Chain CO2 Footprint Tracking Framework Enabled by IoT},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {15},
  number    = {10},
  year      = {2024},
  publisher = {The Science and Information Organization},
  author    = {Mohammad Yaser Mofatteh and Roshanak Davallou and Chaida Ndahiro Ishimwe and Swaresh Suresh Divekar and Omid Fatahi Valilai},
  doi       = {10.14569/IJACSA.2024.0151002},
  url       = {https://doi.org/10.14569/IJACSA.2024.0151002}
}