Author ORCID Identifier

0009-0006-0584-6154

Biosketch

Vijay Ramasamy received his B.Sc. in Physics and Master of Computer Applications (MCA) from highly reputed institutions in India. He completed his Doctorate from SASTRA Deemed University in 2025, strengthening his academic credentials with advanced research exposure. With a solid foundation in both science and computing, he brings 19 years of extensive professional experience in Information Technology, where he has worked as an ERP Architect, leading the design and implementation of enterprise-scale ERP solutions across diverse organizational environments.

Currently, he serves as Assistant Registrar at SASTRA Deemed University, a role he has held for the past three years. In this capacity, he actively contributes to academic administration, digital transformation initiatives, and institutional development, effectively bridging technology and governance. His combined expertise in IT systems and higher education administration enables him to drive efficient, scalable, and compliant solutions within the university ecosystem.

Dr. Vijay Ramasamy’s research interests lie in Enterprise Resource Planning (ERP), Blockchain technologies, and Quantum computing, with a particular focus on their applications in secure, scalable, and intelligent systems. Passionate about innovation and emerging technologies, he continues to explore interdisciplinary research that integrates real-world IT expertise with advanced academic inquiry, contributing to both industry practices and scholarly advancement.

Date of Award

28-10-2025

Document Type

Thesis

School

School of Electrical & Electroncis Engineering

Programme

Ph.D.-Doctoral of Philosophy

First Advisor

Dr.Padmapriya Pravinkumar

Keywords

Blockchain, Pharma Supply Chains, ERP, Quantum, Industry 6.0

Abstract

The pharmaceutical supply chain is undergoing an unprecedented evolution in the wake of Industry 6.0, driven by the need for heightened transparency, security, and real-time intelligence. However, current systems suffer from legacy Enterprise Resource Planning (ERP) constraints, the risk of counterfeit products, temperature sensitivity, and scalability issues due to the surge in Internet of Things (IoT) data.

This research proposes a unified, blockchain-based framework that integrates legacy ERP systems, advanced AI driven forecasting, IoT-enabled traceability, and quantum-enhanced blockchain security to modernize pharmaceutical supply chains.

The study begins by addressing interoperability between ERP and blockchain using middleware and smart contracts, facilitating real-time, tamper-proof synchronization of critical supply chain data. To tackle demand uncertainty, a hybrid Gated Recurrent Unit with Genetic Algorithm (GRU-GA) model is developed for predictive synchronization, offering high-accuracy forecasting integrated with blockchain-triggered automation.

Auditability is further enhanced through an IoT-Blockchain framework that leverages Radio Frequency IDentification (RFID) sensors and secure IoT gateways equipped with edge-based storage and processing. This setup enables real-time tracking and localized decision-making, ensuring data integrity and responsiveness throughout cold chain logistics.

To resolve scalability and security bottlenecks, the research introduces a unique architecture leveraging Ethereum Layer-2 zk-Rollups and quantum randomness via Quantum True Random Number Generators (QTRNG) using Hadamard and Toffoli gates. This hybrid design improves throughput, resists quantum attacks, and ensures unbreachable data integrity.

The proposed solution is validated through simulations, smart contract deployments, and comparative analysis with existing systems. The result is a secure, scalable, and intelligent pharmaceutical supply chain ready for Industry 6.0. This work significantly contributes to digital transformation by combining blockchain, AI, IoT, and quantum technologies into a single, actionable blueprint for the future of pharmaceutical logistics.

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