辽宁石油化工大学学报

辽宁石油化工大学学报 ›› 2022, Vol. 42 ›› Issue (3): 84-89.DOI: 10.3969/j.issn.1672-6952.2022.03.015

• 管理与数理科学 • 上一篇    下一篇

炼化工程企业用工定员管理研究

白志宏()   

  1. 中石化炼化工程(集团)股份有限公司,北京 100029
  • 收稿日期:2022-05-16 修回日期:2022-05-23 出版日期:2022-06-25 发布日期:2022-07-18
  • 作者简介:白志宏(1980⁃),男,硕士,高级经济师,从事人力资源和项目管理方面的研究;E⁃mail: baizhihong2000@163.com

Research on Labour Requirement Management of Petrochemical Engineering Enterprise

Zhihong Bai()   

  1. Sinopec Engineering(Group) Co. ,Ltd. ,Beijing 100029,China
  • Received:2022-05-16 Revised:2022-05-23 Online:2022-06-25 Published:2022-07-18

摘要:

新时代国有工程建设企业的高质量发展,必须通过动力转换、效率变革、创新能力提升,促进企业转型升级。以某国有大型炼化工程企业(简称S企业)为例,聚焦炼化工程建设总承包项目人员管理,构建了一套具有行业引领和示范效应的定员管理体系。基于饱和抽样法的总体样本范围研究劳动用工数据的相关性成因,应用统计学理论技术搭建研究模型,开展了相关性分析与变量共线性诊断,辅助特征分布散点图和显著性检验等判断指标,不断优化模型参数,综合确定劳动定员最优函数方案,实现了企业劳动用工的定量负荷分析与多维监控、劳动用工的管理风险防控。

关键词: 劳动定员, 数学模型, 相关性, 回归分析

Abstract:

With the high?quality development of state?owned enterprises in the new era, it is imperative to promote the transformation and upgrading of high?quality enterprises by realizing power conversion, promoting efficiency transformation, and improving innovation capacity. Taking a large state?owned refining and petrochemical engineering enterprise (hereinafter referred to as S enterprise) as an example, focusing on the personnel management of the general contracting project of refining and chemical engineering construction, a set of quota management system with industry leading and demonstration effect was built. Based on the overall sample range of the saturation sampling method, the correlation causes of labor and employment data were studied, and statistical theory and techniques were used to build a research model, and carried out correlation analysis and variable collinearity diagnosis, with assistance of the characteristics distribution scatter plot and significance test and other scientific index methods to optimize model parameter, comprehensively determining the labour requirement optimal scheme, so as to realize the quantitative load analysis and multi?dimensional monitoring analysis of enterprise labor employment, and labor management risk prevention and control.

Key words: Labour requirement, Mathematical model, Correlation, Regression analysis

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