Proceedings of the International Conference on Recent Advancements and Modernisations in Sustainable Intelligent Technologies and Applications (RAMSITA 2025)

Securing Medicine Supply Chains Through Blockchain Based Trustworthy Certification

Authors
Priti Shukla1, *, Sachin Patel1
1SAGE University, Indore, India
*Corresponding author. Email: Priti.svits@gmail.com
Corresponding Author
Priti Shukla
Available Online 26 May 2025.
DOI
10.2991/978-94-6463-716-8_57How to use a DOI?
Keywords
Pharmaceutical Industry; Blockchain; Trustworthy Certification; Medicine Supply Chains
Abstract

The need to protect the integrity and authenticity of medicines is essential in this sector, namely for public health. There are many challenges in the traditional supply chains with counterfeit drugs, data manipulation and lack of transparency being a few. We propose a solution to achieve secure medicine supply chains through Trustworthy Certification using blockchain in this paper. This is done with the help of a permissioned blockchain network, where smart contracts are used to store product registration data, quality checks and results ensured at nodes, ownership transfer information as well as granting viewing permissions only for concrete groups. According to performance data on an eight-core CPU, work is distributed in a uniform manner and can be pushed onto the higher performing cores. High-memory commodity requirement in memory usage graphs, but blockchain manages it well. In addition to this, the system allows for extensive analysis and optimization given detailed supply chain datasets from product specifics, shipping detail down including supplier data. Initial results showed enhanced traceability, security and efficiency of the system opening a door for pharmaceutical supply chains to change from counterfeit-laced phony drug markets into systems that are capable of delivering genuine medication safely up to end consumers. The work that my supervisor and the future will be to integrate IoT devices for real-time monitoring and machine learning applications which can provide the same predictive analytics as in conventional methods.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Recent Advancements and Modernisations in Sustainable Intelligent Technologies and Applications (RAMSITA 2025)
Series
Advances in Intelligent Systems Research
Publication Date
26 May 2025
ISBN
978-94-6463-716-8
ISSN
1951-6851
DOI
10.2991/978-94-6463-716-8_57How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Priti Shukla
AU  - Sachin Patel
PY  - 2025
DA  - 2025/05/26
TI  - Securing Medicine Supply Chains Through Blockchain Based Trustworthy Certification
BT  - Proceedings of the International Conference on Recent Advancements and Modernisations in Sustainable Intelligent Technologies and Applications (RAMSITA 2025)
PB  - Atlantis Press
SP  - 765
EP  - 788
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-716-8_57
DO  - 10.2991/978-94-6463-716-8_57
ID  - Shukla2025
ER  -