Financial Management and Risk Assessment of Electric Power Scientific Research Projects based on PDCA Analysis Method

Yingcui Chen, Wangyuan Xie, Sijia Lao, Xinru Yu

2022

Abstract

The power industry is an important supporting industry of the energy revolution. Because of traditional energy demand, it is also facing industry innovation brought by various emerging technologies. Power grid enterprises have great demand for science and technology R & D, and the annual scientific research investment in the power industry reaches billion yuan. With the increase of science and technology R & D investment by power enterprises year by year, the demand for scientific and efficient management of science and technology project funds is becoming more and more urgent. By analysing the characteristics of science and technology project management in power enterprises, this study combs and discusses the management methods in each stage of science and technology project implementation by using PDCA analysis method. On this basis, the implementation risk of each stage is established and scored, and the risk level of risk control point is calculated. This study puts forward the optimization ideas and paths of financial management based on PDCA cycle theory, guides budget adjustment and project implementation through information feedback, and strengthens risk point control, which provides a practical reference for the practical application of financial management in scientific research project management.

Paper Citation

in Harvard Style

Chen Y., Xie W., Lao S. and Yu X. (2022). Financial Management and Risk Assessment of Electric Power Scientific Research Projects based on PDCA Analysis Method. In Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM, ISBN 978-989-758-593-7, pages 912-917. DOI: 10.5220/0011358100003440

in Bibtex Style

@conference{bdedm22,
author={Yingcui Chen and Wangyuan Xie and Sijia Lao and Xinru Yu},
title={Financial Management and Risk Assessment of Electric Power Scientific Research Projects based on PDCA Analysis Method},
booktitle={Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM,},
year={2022},
pages={912-917},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011358100003440},
isbn={978-989-758-593-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM,
TI - Financial Management and Risk Assessment of Electric Power Scientific Research Projects based on PDCA Analysis Method
SN - 978-989-758-593-7
AU - Chen Y.
AU - Xie W.
AU - Lao S.
AU - Yu X.
PY - 2022
SP - 912
EP - 917
DO - 10.5220/0011358100003440