4.6 Article

The Application of Blockchain-Based Life Cycle Assessment on an Industrial Supply Chain

Journal

SUSTAINABILITY
Volume 13, Issue 23, Pages -

Publisher

MDPI
DOI: 10.3390/su132313332

Keywords

life cycle assessment; blockchain; supply chain

Ask authors/readers for more resources

Life cycle assessment (LCA) is a tool to evaluate environmental impacts of a product or process, with data quality being a key factor. Most current datasets in inventory databases are generic, making it difficult to track specific environmental impacts. Using blockchain-based LCA can improve data accuracy and real-time access.
Life cycle assessment (LCA) is a widely recognized tool used to evaluate the environmental impacts of a product or process, based on the environmental inventory database and bills of material. Data quality is one of the most significant factors affecting the analysis results. However, currently, most datasets in inventory databases are generic, i.e., they may represent the material and energy flow of a process at a market average, instead of a specific process used by a manufacturer. As a result, stockholders are unable to track their supply chain to find out the actual environmental impact from each supplier and to compare the environmental performance of alternative options. In this paper, we developed a new framework, i.e., blockchain-based LCA (BC-LCA), where blockchain technology is adapted to secure and transmit inventory data from upstream suppliers to downstream manufacturers. With BC-LCA, more specific data can be acquired along the supply chain in a real-time manner. Moreover, the availability, accuracy, privacy, and automatic update of inventory data can be improved. A case study is provided based on an industrial supply chain to demonstrate the utilization of BC-LCA.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available