考虑多属性因素的区域维修成本决策技术研究

Yan Ren, Jin-peng Liu, J. Yu, Zebang Yu, Fangzhou Liu, Chao Chen
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引用次数: 0

摘要

当前,成本控制和严格监管已成为政府对电网企业监管的主基调。高质量发展与电网企业经营之间的矛盾日益突出。因此,加强资金的合理、准确投入是电网企业发展的必然方向。提高维修费用投资的合理水平是解决电网企业发展问题的关键。维修成本受地区差异、管理水平和资产规模的影响。不同区域的维修费用投资决策较为复杂。因此,本文结合电网企业的运行特点,系统分析了影响维修成本投资的主要因素,明确了维修成本投资与各因素之间的相关性,并利用神经网络方法结合因素相关性分析结果,实现了维修成本的科学预测。为维修费用的准确决策和科学投入提供一定的参考,为维修费用的合理分配提供一定的参考依据。出资总额及规模
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Decision Making Technology of Regional Maintenance Cost Considering Multi-Attribute Factors
: at present, cost control and strict supervision have become the main tone of the government's supervision of power grid enterprises. The contradiction between high-quality development and the operation of power grid enterprises is becoming increasingly prominent. Therefore, strengthening the reasonable and accurate investment of funds is the inevitable direction of the development of power grid enterprises. Improving the reasonable level of maintenance cost investment is the key to solve the development problems of power grid enterprises. The maintenance cost is affected by regional differences, management level and asset scale. The decision-making of maintenance cost investment in different regions is more complex. Therefore, combined with the operation characteristics of power grid enterprises, this paper systematically analyzes the main factors affecting maintenance cost investment, clarifies the correlation between maintenance cost investment and various factors, and uses neural network method combined with factor correlation analysis results to realize the scientific prediction of maintenance cost, which can provide some reference for accurate decision-making and scientific investment of maintenance cost, it provides a certain reference basis for the reasonable allocation of maintenance cost. total and scale contribution
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