An Intelligent Optimization Control Method for Enterprise Cost Under Blockchain Environment

This paper uses blockchain technology to conduct in-depth research and analysis on enterprise cost optimization control. Based the of control status in enterprises, concept target specific ideas are proposed. And study under based genetic algorithm is carried out combination with current three major controls quality, schedule, cost. It provides technical basis for realization profit enterprise. The Optimized Scalable Byzantine Fault Tolerance (OSBFT) algorithm, which suitable spectrum sharing, proposed PBFT (Practical Tolerance) algorithm. So, this paper, an improved consensus OSBFT (Optimized it. used solve objective function verify validity, reasonableness applicability model shown that introduction delay multilevel inventory reduces total optimized by 16.87% compared previous studies. steps, incorporates a data synchronization mechanism, enables nodes join exit consensus.