Design and Research of Equipment Asset Life Cycle Management System Based on ERP

Delv Zhu, Xiao Tian, Huichuan Liu, Xi Cheng

2023

Abstract

In recent years, the government has paid more and more attention to energy saving. Energy consumption is not only embodied in energy saving, but also needs to make full use of existing resources to bring good economic benefits to enterprises. As an important factor of enterprise production, fixed assets are easy to influence the future development of asset-intensive enterprises, therefore, the relevant enterprises should pay attention to the analysis of fixed asset management. Based on this, this paper analyzes the electric power enterprise ERP system, comprehensively considers the whole process information management of the equipment assets, and realizes the optimal life cycle cost of the equipment assets on the basis of satisfying the security, so as to achieve the whole process of system optimization management level.

Paper Citation

in Harvard Style

Zhu D., Tian X., Liu H. and Cheng X. (2023). Design and Research of Equipment Asset Life Cycle Management System Based on ERP. In Proceedings of the 2nd International Seminar on Artificial Intelligence, Networking and Information Technology - Volume 1: ANIT; ISBN 978-989-758-677-4, SciTePress, pages 464-467. DOI: 10.5220/0012286000003807

in Bibtex Style

@conference{anit23,
author={Delv Zhu and Xiao Tian and Huichuan Liu and Xi Cheng},
title={Design and Research of Equipment Asset Life Cycle Management System Based on ERP},
booktitle={Proceedings of the 2nd International Seminar on Artificial Intelligence, Networking and Information Technology - Volume 1: ANIT},
year={2023},
pages={464-467},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012286000003807},
isbn={978-989-758-677-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Seminar on Artificial Intelligence, Networking and Information Technology - Volume 1: ANIT
TI - Design and Research of Equipment Asset Life Cycle Management System Based on ERP
SN - 978-989-758-677-4
AU - Zhu D.
AU - Tian X.
AU - Liu H.
AU - Cheng X.
PY - 2023
SP - 464
EP - 467
DO - 10.5220/0012286000003807
PB - SciTePress