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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM63501
Volume:
10 |
5 |
May 2026
Pages:
1-4
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
MASTER OF COMPUTER APPLICATIONS
BAPUJI INSTITUTE OF ENGINEERONG AND TECHNOLOGY DAVANAGERE
MASTER OF COMPUTER APPLICATIONS
BAPUJI INSTITUTE OF ENGINEERONG AND TECHNOLOGY DAVANAGERE
The pharmaceutical industry is highly vulnerable to counterfeit drugs, supply chain inefficiencies, and lack of transparency, which can severely affect patient safety and healthcare quality. Traditional supply chain systems are often centralized, making them prone to tampering, delays, and inaccurate data management. With the increasing complexity of pharmaceutical distribution and the vast amount of data generated at each stage from manufacturing to delivery there is a pressing need for a secure, transparent, and intelligent system to ensure drug authenticity. This study proposes an integrated Blockchain and Big Data approach to address these challenges. Blockchain technology provides a decentralized and tamper-proof ledger for recording all transactions within the supply chain, ensuring traceability and accountability at every stage. Big Data analytics enables real-time monitoring, predictive insights, and anomaly detection, optimizing inventory management, logistics, and overall operational efficiency. Smart contracts automate verification processes, reducing human errors and ensuring compliance with regulatory standards. The proposed system also incorporates IoT-enabled devices for continuous monitoring of storage conditions, transportation, and handling of pharmaceutical products. By combining secure data storage, analytics, and real-time monitoring, the system ensures that every drug can be verified for authenticity from production to end-user delivery. Implementing this Blockchain-Big Data integrated supply chain is expected to significantly reduce counterfeit drug incidents, enhance transparency, and improve efficiency across the pharmaceutical industry. This approach not only strengthens trust among stakeholders but also contributes to safer healthcare outcomes and better regulatory compliance, demonstrating a transformative potential for the future of pharmaceutical supply chain management.
KEYWORDS
The "Blockchain-Big Data Supply Chain for Pharma Authenticity" project represents a pivotal advancement in the fight against pharmaceutical counterfeiting and supply chain inefficiency. By successfully integrating the immutable trust of Blockchain technology with the analytical power of Big Data this project addresses the critical vulnerabilities inherent in traditional centralized supply chain models. The system successfully establishes a transparent secure and verifiable ecosystem where every drug unit is tracked from the raw material phase to the end consumer. The implementation of smart contracts automates compliance reduces human error and ensures that safety protocols (such as cold chain integrity) are strictly adhered to. The Big Data component transforms the vast amounts of logistical data into actionable intelligence allowing for proactive decision-making and rapid anomaly detection. Ultimately this project serves a higher purpose beyond technical innovation: it safeguards public health. by empowering patients to verify their medication and enabling regulators to audit the supply chain in real-time the system restores trust in the pharmaceutical industry. It moves the industry towards a future where counterfeit drugs are eliminated recalls are surgical and swift and patient safety is guaranteed by cryptographic truth rather than blind faith.
1. Nakamoto S. (2008). Bitcoin: A Peer-to-Peer Electronic Cash System. Cryptography Mailing List. 2. Saberi S. Kouhizadeh M. Sarkis J. & Shen L. (2019). Blockchain technology and its relationships to sustainable supply chain management. International Journal of Production Research 57(7) 2117-2135. 3. Crosby M. Pattanayak P. Verma S. & Kalyanaraman V. (2016). Blockchain technology: Beyond bitcoin. Applied Innovation 2(6-10) 71. 4. Liang X. Shetty S. Tosh D. Kamhoua C. & Kwiat K. (2017). Provchain: A blockchain- based data provenance architecture in cloud environment with enhanced privacy and availability. IEEE/ACM 17th International Symposium on Cluster Cloud and Grid Computing (CCGRID). 5. Halamka J. D. & Lippman A. (2017). The potential for blockchain to transform electronic health records. Harvard Business Review 3(2) 2-5. 6. Blockchain for Data Originality in Pharma Manufacturing – This article evaluates using a private Ethereum blockchain with smart contracts to ensure tamper-proof data integrity and track manufacturing record originality, detecting falsified production data. 7. PharmaChain: Blockchain-based drug supply chain provenance verification system – Presents a Hyperledger Fabric framework for decentralized provenance verification and tamper-resistant logging across pharma supply chain participants. 8. Blockchain technology: A potential tool for the management of pharma supply chain – Reviews blockchain as a tool to improve traceability and authenticity in the pharma supply chain involving multiple stakeholders (manufacturers, regulators, pharmacies, etc.).
Publication Date
5/19/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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