Abstract: Blockchain technology holds the potential to revolutionize supply chain management by ensuring transparency, efficiency, and security. This paper presents a detailed examination of blockchain's implementation in supply chain systems, focusing on safeguarding confidential information and preserving supply chain integrity. The method involves extracting ‘sales order’ data from Walmart’s transactional database, which is then encrypted using AES algorithms to protect sensitive details such as client names and geographical information. Utilizing Ethereum's decentralized architecture, smart contracts are employed to manage transactions, encryption, decryption, and access rights. The Ethereum P2P network also aids in data validation and asset preservation, enhancing the system’s reliability. Comparative analysis shows that the proposed encryption method, with encryption and decryption times of 2.8 and 3.2 seconds, outperforms traditional methods like RSA and ABE. Implemented in Python, this blockchain-based technique offers a robust, nearly infallible solution that can be applied to various supply chain practices, including Asset Management (AM), Enterprise Asset Management (EAM), and Supply Chain Management (SCM), addressing contemporary challenges and enhancing operational efficiency.

Shamrao Parashram Ghodake, Vishal M. Tidake, Sanjit Singh, Elangovan Muniyandy, Mohit, Lakshmana Phaneendra Maguluri and John T Mesia Dhas. “Enhancing Supply Chain Transparency and Efficiency Through Innovative Blockchain Solutions for Optimal Operations Management”. International Journal of Advanced Computer Science and Applications (IJACSA) 15.9 (2024). http://dx.doi.org/10.14569/IJACSA.2024.0150976

@article{Ghodake2024,
title = {Enhancing Supply Chain Transparency and Efficiency Through Innovative Blockchain Solutions for Optimal Operations Management},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2024.0150976},
url = {http://dx.doi.org/10.14569/IJACSA.2024.0150976},
year = {2024},
publisher = {The Science and Information Organization},
volume = {15},
number = {9},
author = {Shamrao Parashram Ghodake and Vishal M. Tidake and Sanjit Singh and Elangovan Muniyandy and Mohit and Lakshmana Phaneendra Maguluri and John T Mesia Dhas}
}