粒子群算法在提高数字化企业管理效率中的创新应用

Shengnan Zhang
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引用次数: 0

摘要

目前,大多数企业的管理仍采用传统的经营模式,难以满足现代信息化的要求。为有效提高数字化企业管理效率,解决传统管理方法在资源配置、决策、流程优化等方面的局限性,提出了基于粒子群优化的数字化企业创新管理方法实验。研究结果表明,将该方法应用于企业进行仿真实验,使用该方法后获得的效率高达 99.5%,比未使用该方法前获得的企业管理效率高出近 2%。结果表明,所提出的粒子群优化法对于提高数字化企业的管理效率具有较高的可靠性和准确性,可以为互联网时代企业的发展和进步提供新的研究方向和思路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Innovative application of particle swarm algorithm in the improvement of digital enterprise management efficiency
At present, the management of most enterprises still adopts the traditional business model, which is difficult to meet the requirements of modern informatization. To effectively improve the efficiency of digital enterprise management and solve the limitations of traditional management methods in resource allocation, decision-making, and process optimization, an experiment is proposed for a digital enterprise innovation management method based on Particle Swarm Optimization. The research results show that the method is applied to the enterprise for simulation experiments, and the efficiency obtained after using the method is as high as 99.5 %, which is nearly 2 % higher than the enterprise management efficiency obtained before the method is not used. The results show that the proposed Particle Swarm Optimization has high reliability and accuracy for improving the management efficiency of digital enterprises, and can provide new research directions and ideas for the development and progress of enterprises in the Internet era.
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