Blockchain technology application and optimisation algorithm in enterprise supply chain management

Aiming at the issues of collaborative efficiency and trust crisis faced by supply chain management (SCM), this paper firstly design a blockchain-based SCM architecture, improve the blockchain smart contract, unite the election conditions of the Raft leader, set the election index rules, introduce preparatory candidates, and implement the division of subjects to authorise the legitimate subjects to be uploaded to the blockchain. Parameters such as chain owner costs and service credits are then materialised into a multi-business synergy model. Second, from the point of view of improving the efficiency of the genetic algorithm in generating the offspring buffer, the cross-variation part is parallelised, which greatly reduces the model solving time. Finally, the TOPSIS method is used to calculate the Euclidean distance and decide the ideal solution. Simulation results imply that the offered algorithm saves 16.37% of computation time and provides a new perspective for SCM.

Authors

Institutions

Publication Details

Journal
International Journal of Information and Communication Technology
Published
2025-01-01
DOI
https://doi.org/10.1504/ijict.2025.146162
Citations
2
Primary Topic
E-commerce and Technology Innovations
Type
article
Field-Weighted Citation Impact
4.89
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Blockchain technology application and optimisation algorithm in enterprise supply chain management

Zhi‐Hao Cao
2 citations
International Journal of Information and Communication Technology
E-commerce and Technology Innovations
4.89
article

Blockchain technology application and optimisation algorithm in enterprise supply chain management

Zhi‐Hao Cao
article en
2 citations

Abstract

Aiming at the issues of collaborative efficiency and trust crisis faced by supply chain management (SCM), this paper firstly design a blockchain-based SCM architecture, improve the blockchain smart contract, unite the election conditions of the Raft leader, set the election index rules, introduce preparatory candidates, and implement the division of subjects to authorise the legitimate subjects to be uploaded to the blockchain. Parameters such as chain owner costs and service credits are then materialised into a multi-business synergy model. Second, from the point of view of improving the efficiency of the genetic algorithm in generating the offspring buffer, the cross-variation part is parallelised, which greatly reduces the model solving time. Finally, the TOPSIS method is used to calculate the Euclidean distance and decide the ideal solution. Simulation results imply that the offered algorithm saves 16.37% of computation time and provides a new perspective for SCM.

International Journal of Information and Communication TechnologyVol. 26(12)
Chongqing University (CN), Chongqing University of Education (CN)
Openalex Percentile: Top 6%
E-commerce and Technology Innovations
4.89
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Blockchain technology application and optimisation algorithm in enterprise supply chain management — Zhi‐Hao Cao · International Journal of Information and Communication Technology (2025) | TGRS Research Map | TGRS