Exploration and Practice of Personnel Allocation Model for County-Level Power Supply Enterprises' Rural Electric Personnel
DOI:
https://doi.org/10.62051/ijsspa.v2n3.09Keywords:
Power Enterprises, Personnel Allocation, Demand ForecastingAbstract
This study constructs a county-level power supply enterprise personnel configuration model system through mathematical methods, which can predict the total employment, employment distribution, optimize the employee team, and standardize employment strategies. It identifies the corresponding relationships and laws between the development of the county-level power supply enterprise workforce and the scale of business growth, production efficiency, and economic benefits. This achieves the prediction of the quantity, structure, and quality of human resources required for strategic development of enterprises, and formulates effective replenishment strategies based on the supply of internal and external talent markets, optimizing human resource allocation.
Downloads
References
Wu, Yali. "Research on Innovation of Labor Staffing Determination and Management in Power Supply Enterprises." China Electric Power Enterprise Management, 2020(1): 67.
Zhang, Tiantian, Yao Xueheng, Zhou Yuan. "Staffing Determination and Prediction Analysis of County-level Power Supply Stations Based on Factor Analysis and Multiple Regression." Value Engineering, 2019(11): 248. DOI: https://doi.org/10.19392/j.cnki.1671-7341.201932209.
Wan, Ming. "Exploration and Practice of 'All-round' Staffing Determination in Power Supply Stations." Rural Electric Management, 2018(9): 65.
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.







