摘要
在电力行业蓬勃发展的背景下,电力物资供应链的运行效率对于维系电力企业运营的稳健性及市场竞争力具有重要意义.目前,电力物资供应链还存在需求预测不准、流程复杂、管理效率低等困难,传统的管理方式已难以满足高效、精准的需求.文中基于人工智能技术,深化了电力物资供应链的管理效能与运营优化.人工智能技术能提升物资需求预测的准确性,自动化处理供应链中的复杂流程.同时,结合智能算法对供应链各环节进行精细化管理,提高了运营效率,降低了管理成本,促进了电力行业的数字化转型.
In the context of the vigorous development of the power industry,the operation efficiency of the power material supply chain is of great significance for maintaining the robustness and market competitiveness of power enterprises.At present,there are still difficulties in the power material supply chain such as inaccurate demand forecasting,complex processes,and low management efficiency,and traditional management methods are difficult to meet the needs of high efficiency and accuracy.Based on artificial intelligence technology,this paper deepens the management efficiency and operation optimization of the power material supply chain.Artificial intelligence technology can improve the accuracy of material demand forecasting and automate complex processes in the supply chain.At the same time,the combination of intelligent algorithms for the fine management of each link of the supply chain,improve operational efficiency,reduce management costs,and promote the digital transformation of the power industry.
作者
张学敏
王超
周庆
王坤
欧阳芸
ZHANG Xuemin;WANG Chao;ZHOU Qing;WANG Kun;OUYANG Yun(Anhui Jiyuan Software Co.,Ltd.,Hefei 230000,China)
出处
《移动信息》
2025年第2期258-260,共3页
Mobile Information
关键词
人工智能
电力物资供应链
运营平台
Artificial intelligence
Power supply chain
Operation platform
作者简介
张学敏(1988),硕士,工程师,研究方向为电网数字供应链;王超(1985-),本科,工程师,研究方向为智慧供应链;周庆(1994-),本科,助理工程师,研究方向为电网数字供应链;王坤(1999-),本科,助理工程师,研究方向为电网数字供应链;欧阳芸(1989-),本科,助理工程师,研究方向为电网数字供应链。
