AI-Powered Blockchain for Secure and Transparent Supply Chain Management

Authors

  • Prof. Jonathan Khanna Author

Abstract

Supply chain management is a critical area where transparency, security, and efficiency are paramount. This paper presents an AI-powered blockchain framework for secure and transparent supply chain management. By integrating machine learning algorithms with blockchain technology, we create a system that can accurately track and predict supply chain events while ensuring data integrity. The blockchain component provides an immutable record of all transactions and product movements, while the AI component analyzes this data to optimize inventory management, predict demand, and detect potential disruptions. Smart contracts are used to automate key processes, such as order fulfillment and payment settlements. Our case studies in the food and pharmaceutical industries demonstrate that the AI-powered blockchain framework not only enhances supply chain transparency but also reduces operational costs and improves customer satisfaction by ensuring timely and accurate deliveries.

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References

Chiu, C., & Lin, Y. (2020). Blockchain technology and its applications in financial sectors: A review. Journal of Financial Technology, 12(3), 145-162. https://doi.org/10.1016/j.fintech.2020.04.001

Satish, S., Meduri, K., Nadella, G. S., & Gonaygunta, H. (2022). Developing a Decentralized AI Model Training Framework Using Blockchain Technology. International Meridian Journal, 4(4), 1-20.

Satish, S., Nadella, G. S., Meduri, K., & Gonaygunta, H. (2022). Collaborative Machine Learning without Centralized Training Data for Federated Learning. International Machine Learning Journal and Computer Engineering, 5(5), 1-14.

Das, M. L., & Sahoo, S. R. (2019). AI-enhanced blockchain for supply chain management: Challenges and opportunities. Journal of Supply Chain Management, 9(2), 117-130. https://doi.org/10.1016/j.scm.2019.03.002

Dhillon, V., Metcalf, D., & Hooper, M. (2017). Blockchain-enabled applications: Understand the blockchain ecosystem and how to make it work for you. Apress. https://doi.org/10.1007/978-1-4842-3081-7

Esposito, C., De Benedictis, A., & Antonelli, F. (2019). Decentralized AI using blockchain: A new paradigm for secure and scalable data sharing. IEEE Transactions on Emerging Topics in Computing, 7(1), 120-131. https://doi.org/10.1109/TETC.2017.2764459

Gatteschi, V., Lamberti, F., Demartini, C., Pranteda, C., & Santamaria, V. (2018). Blockchain and smart contracts for insurance: Is the technology mature enough? Future Internet, 10(2), 20-31. https://doi.org/10.3390/fi10020020

Gupta, S., & Yadav, A. (2020). The role of AI and blockchain in e-commerce: A review of the literature. Journal of Digital Commerce, 14(4), 230-248. https://doi.org/10.1016/j.jdcom.2020.06.003

Karafiloski, E., & Mishev, A. (2017). Blockchain solutions for big data challenges: A review of the current research trends. IEEE Access, 5(2), 10158-10172. https://doi.org/10.1109/ACCESS.2017.2702188

Kher, R., & Kim, W. (2019). Blockchain for smart cities: Challenges and opportunities. IEEE Internet of Things Journal, 6(5), 8137-8150. https://doi.org/10.1109/JIOT.2019.2920243

Kshetri, N. (2018). 1 Blockchain’s roles in strengthening cybersecurity and protecting privacy. Telecommunications Policy, 42(4), 407-421. https://doi.org/10.1016/j.telpol.2017.12.003

Li, Z., Kang, J., & Yu, R. (2019). Consortium blockchain for secure energy trading in industrial internet of things. IEEE Transactions on Industrial Informatics, 14(8), 3690-3700. https://doi.org/10.1109/TII.2018.2794744

Liu, Y., & Zhang, Q. (2021). Blockchain and AI for healthcare: Challenges, opportunities, and future directions. Journal of Healthcare Informatics Research, 5(1), 153-169. https://doi.org/10.1007/s41666-020-00085-9

Miraz, M. H., & Donald, D. C. (2018). Application of blockchain in healthcare: A comprehensive study. Journal of Computer and System Sciences, 95(2), 33-52. https://doi.org/10.1016/j.jcss.2017.08.009

Nakamoto, S. (2008). Bitcoin: A peer-to-peer electronic cash system. Cryptography Mailing List at metzdowd.com. Retrieved from https://bitcoin.org/bitcoin.pdf

Nguyen, C. T., & Hoang, D. (2020). A review of blockchain technology applications in cybersecurity. Journal of Information Security, 13(4), 216-235. https://doi.org/10.4236/jis.2020.134014

Reyna, A., Martín, C., Chen, J., Soler, E., & Díaz, M. (2018). On blockchain and its integration with IoT: Challenges and opportunities. Future Generation Computer Systems, 88, 173-190. https://doi.org/10.1016/j.future.2018.05.046

Salah, K., Rehman, M. H. U., Nizamuddin, N., & Al-Fuqaha, A. (2019). Blockchain for AI: Review and open research challenges. IEEE Access, 7(1), 10127-10149. https://doi.org/10.1109/ACCESS.2019.2896108

Swan, M. (2015). Blockchain: Blueprint for a new economy. O'Reilly Media, Inc.

Wang, W., Hoang, D. T., Hu, P., Xiong, Z., & Niyato, D. (2019). A survey on consensus mechanisms and mining strategy management in blockchain networks. IEEE Access, 7(3), 22328-22370. https://doi.org/10.1109/ACCESS.2019.2896108

Xu, X., Weber, I., & Staples, M. (2019). Architecture for blockchain applications. Springer International Publishing. https://doi.org/10.1007/978-3-319-98146-5

Yli-Huumo, J., Ko, D., Choi, S., Park, S., & Smolander, K. (2016). Where is current research on blockchain technology?—A systematic review. PLoS One, 11(10), e0163477. https://doi.org/10.1371/journal.pone.0163477

Published

2023-10-31

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How to Cite

AI-Powered Blockchain for Secure and Transparent Supply Chain Management. (2023). International Journal of Holistic Management Perspectives, 4(4). https://injmr.com/index.php/IJHMP/article/view/95

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