Intelligent Scheduling Algorithm of Enterprise Human Resources Based on Data Analysis

C. Huang
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Abstract

Human resource management is an important part of enterprise management. Strengthening human resource management is an important measure to improve the efficiency of personnel use and reduce personnel costs. Because the traditional intelligent planning algorithm dynamic planning is not perfect and the calculation time is too long, this paper mainly discusses the intelligent enterprise human resource planning algorithm based on big data. This research realizes the dynamic planning of enterprise human resources by creating a dynamic planning model based on big data, developing the initial priority table of intelligent planning algorithm, and representing the intelligent planning algorithm based on the priority table. The experimental results show that compared with the traditional algorithm, the algorithm proposed in this study has a greater computational speed advantage, and the average running time is reduced by 6.96 seconds. Therefore, the intelligent scheduling algorithm of enterprise human resources based on data analysis can help reduce many burdens of enterprise human resources scheduling problems based on big data.
基于数据分析的企业人力资源智能调度算法
人力资源管理是企业管理的重要组成部分。加强人力资源管理是提高人员使用效率、降低人员成本的重要措施。由于传统的智能规划算法动态规划不完善,计算时间过长,本文主要讨论了基于大数据的智能企业人力资源规划算法。本研究通过建立基于大数据的动态规划模型,开发智能规划算法的初始优先级表,并基于优先级表表示智能规划算法,实现了企业人力资源的动态规划。实验结果表明,与传统算法相比,本文提出的算法具有更大的计算速度优势,平均运行时间缩短了6.96秒。因此,基于数据分析的企业人力资源智能调度算法,有助于减轻基于大数据的企业人力资源调度问题的诸多负担。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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