Issue |
ITM Web Conf.
Volume 76, 2025
Harnessing Innovation for Sustainability in Computing and Engineering Solutions (ICSICE-2025)
|
|
---|---|---|
Article Number | 02007 | |
Number of page(s) | 10 | |
Section | Blockchain & Cybersecurity | |
DOI | https://doi.org/10.1051/itmconf/20257602007 | |
Published online | 25 March 2025 |
Blockchain Technology in Supply Chain Management Prospects and Challenges for Implementation
1 Assistant Professor, Department of Electronics Engineering YCCE, Nagpur, Maharashtra, India
2 Assistant Professor, Department of MBA, SRM Institute of Science and Technology -Ramapuram, Chennai, Tamil Nadu, India
3 Dean - School of Management, KPR College of Arts Science and Research, Avinashi Road, Arasur, Coimbatore, Tamil Nadu, India
4 Professor, Department of Management Studies, Chettinad College of Engineering and Technology, Karur, Tamil Nadu, India
5 Assistant Professor, Department of Computer Science and Engineering, Bharati Vidyapeeth’s College of Engineering, A-4, Rohtak Road, Paschim Vihar, Delhi, India
6 Asst Professor, Department of MECH, New Prince Shri Bhavani College of Engineering and Technology, Chennai, Tamil Nadu, India
atishp32@gmail.com
drpmohanrajmba@gmail.com
anandgerald1974@gmail.com
dharmassm@gmail.com
mohit.t.bvcoe@gmail.com
swarnalakshmi@newprinceshribhavani.com
Blockchain Technology in Supply Chain Management Blockchain can help scale to preparedness and enhance scalability, transparency, interoperability, security, and cost-efficiency. Existing implementations are facing significant challenges, such as considerable computational expense, scalability constraints, issues with interoperability, energy waste, and regulatory compliance. In response, this research presents a next-gen blockchain framework leveraging hybrid blockchain architectures, AI-integrated smart contracts, green consensus algorithms, and cross-platform interoperability strategies to bridge the gaps of the existing systems. In this paper, we present an architecture that incorporates Zero-Knowledge Proofs (ZKP), Homomorphic Encryption, and Decentralized Identifiers (DIDs) for upholding data transparency and privacy without compromising on regulatory compliance. Furthermore, in order to facilitate the cost-effective adoption of blockchain for supply chain firms, the study presented BaaS (Blockchain-as-a-Service). AI-powered adaptive smart contracts to automate logistics operations in real-time are also included in the framework. This research proves that the proposed blockchain framework helps to increase the supply chain security level, decrease operational costs, improve transaction efficiency, and conformity with the regulations of global trade through the case study analysis and simulation testing approaches. The outcome indicates the comparative analysis demonstrating the improvement– a 40% reduction in latency, a 30% decrease in computational costs, and a 50% higher transaction processing speed compared to the existing blockchain technologies with respect to hybrid blockchain model. This research addresses major roadblocks to significant adoption of blockchain, and provides a robust, cost-efficient, and privacy-protective, scalable blockchain solution which can guarantee resilience and transparency of supply chain in current-day logistics networks.
Key words: Blockchain technology / supply chain management / hybrid blockchain models / AI-powered smart contracts / energy-efficient blockchain / cross-platform interoperability / decentralized supply chains / real-time transaction processing / regulatory compliance in blockchain / privacy-preserving blockchain / federated blockchain networks / smart logistics automation / Blockchain-as-a-Service (BaaS) / blockchain scalability solutions / transparency in supply chains / secure supply chain transactions / blockchain risk mitigation / next-generation blockchain framework / adaptive logistics automation
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.