College of Political Science and Law, Jiangxi Normal University, Jiangxi, Nanchang 330000, China.
Training Center, Jiangxi College of Foreign Studies, Jiangxi, Nanchang 330000, China.
J Environ Public Health. 2022 Aug 31;2022:1244660. doi: 10.1155/2022/1244660. eCollection 2022.
The distribution of human resources has a direct impact on the HR utilization rate in businesses, which in turn has an impact on the profitability and labor productivity of those businesses. As a result, this article develops an enterprise HR optimal allocation model based on PSO. The concepts of HR and HR allocation are introduced, and a programme for implementing optimal HR allocation in businesses is provided from the perspectives of scale prediction, structure analysis, and implementation. An HR configuration optimization model is established, providing a specific method of quantitative management for HR configuration optimization, at the same time starting from operability, based on the methods of system analysis and quantitative evaluation, and an improved PSO is created to address this issue. Results from numerical simulations demonstrate this algorithm's effectiveness. According to the experimental findings, the improved PSO has a quick convergence rate and a roughly 5% lower average error rate than the conventional algorithm. Moreover, this algorithm's accuracy is roughly 94%. This method offers some targeted tactics for optimizing HR configuration.
人力资源的分布对企业的人力资源利用率有直接影响，而人力资源利用率又会影响企业的盈利能力和劳动生产率。因此，本文基于 PSO 开发了一种企业人力资源最优配置模型。介绍了人力资源和人力资源配置的概念，并从规模预测、结构分析和实施等方面为企业提供了最优人力资源配置的方案。建立了人力资源配置优化模型，为人力资源配置优化提供了具体的定量管理方法，同时从可操作性出发，基于系统分析和定量评价的方法，创建了改进的 PSO 来解决这个问题。数值模拟结果表明该算法的有效性。根据实验结果，改进的 PSO 具有较快的收敛速度，平均误差率比传统算法低约 5%。此外，该算法的准确率约为 94%。该方法为优化人力资源配置提供了一些有针对性的策略。
