Fanghua Hong
State Grid Shanghai Electric Power Company Material Company, Shanghai, 200002, China
Yonghuan Hu
State Grid Shanghai Electric Power Company Material Company, Shanghai, 200002, China
Hongdao Xu
State Grid Shanghai Electric Power Company Material Company, Shanghai, 200002, China
Chengxin Hu
State Grid Shanghai Electric Power Company Material Company, Shanghai, 200002, China
Dong Fei
State Grid Shanghai Electric Power Company Material Company, Shanghai, 200002, China

DOI:https://doi.org/10.5912/jcb1932


Abstract:

This study explores the application of biometrics technology, specifically facial and fingerprint recognition, to enhance the security of the electric power material supply chain. Initially, we established a security risk monitoring system using these biometric methods to accurately identify potential threats. Subsequently, we developed a resilience restoration decision-making model for the electric power company, incorporating constraints related to electric power emergency restoration, such as power system operational mechanisms, response decisions, and relational and decision variable type constraints. Utilizing a deterministic recovery decision-making algorithm, we conducted an analysis of security risks and resilience enhancement within the supply chain. The results indicate effective risk detection, with the highest longitudinal load value monitored at 83.5kN/m3, suggesting robust supply chain throughput performance. The resilience decision model employed a second heuristic algorithm that proved to be robust across various scenarios, demonstrating an optimal balance between computational accuracy and efficiency. This finding emphasizes the importance of selecting an appropriate heuristic value to enhance decision-making efficiency without compromising accuracy. The integration of biometrics into supply chain security represents a significant advancement in biotechnological applications, aligning with the goals of commercial biotechnology to provide innovative, effective solutions for critical infrastructure challenges. This approach not only improves security measures but also enhances the overall resilience of the supply chain, making it a valuable model for similar industries looking to leverage biotechnology for enhanced operational security and efficiency.