Blockchain-enabled product life cycle assessment information management system

Life Cycle Assessment (LCA) often faces challenges such as low data transparency, limited traceability, and poor data sharing among entities. To address these issues, this study develops a blockchain based life cycle information management system that adopts a front end and back end separation architecture and integrates on chain and off chain collaborative storage. The system supports version tracking, auditing, and secure data sharing through unique identifiers, permission control, and smart contracts. Using bogie frame as a case study, it was validated under real data scenarios, showing zero error rates and high consistency in integrity and transparency. Performance tests indicated average response times of 30–60 ms and on chain delays of about 2.8 s, with stable operation at medium scale. The proposed framework enhances transparency, reliability, and efficiency, providing a scalable digital solution for integrating blockchain with LCA in sustainable manufacturing.

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Publication Details

Journal
Ain Shams Engineering Journal
Published
2026-01-20
DOI
https://doi.org/10.1016/j.asej.2026.103993
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
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article

Blockchain-enabled product life cycle assessment information management system

Kai Zhu, Yajun Duan
Ain Shams Engineering Journal
Blockchain Technology Applications and Security
article

Blockchain-enabled product life cycle assessment information management system

Kai Zhu, Yajun Duan
article en

Abstract

Life Cycle Assessment (LCA) often faces challenges such as low data transparency, limited traceability, and poor data sharing among entities. To address these issues, this study develops a blockchain based life cycle information management system that adopts a front end and back end separation architecture and integrates on chain and off chain collaborative storage. The system supports version tracking, auditing, and secure data sharing through unique identifiers, permission control, and smart contracts. Using bogie frame as a case study, it was validated under real data scenarios, showing zero error rates and high consistency in integrity and transparency. Performance tests indicated average response times of 30–60 ms and on chain delays of about 2.8 s, with stable operation at medium scale. The proposed framework enhances transparency, reliability, and efficiency, providing a scalable digital solution for integrating blockchain with LCA in sustainable manufacturing.

Ain Shams Engineering JournalVol. 17(2)
Nanjing University of Information Science and Technology (CN)
Responsible consumption and production
Openalex Percentile: Top 88%
Blockchain Technology Applications and Security
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