电力行业物资管理体系的优化研究  

Research on Optimization of Material Management System in Electric Power Industry

作　　者：张霓 叶亚军 张家瑞 汪舰 ZHANG Ni;YE Yajun;ZHANG Jiarui;WANG Jian(Beijing State Grid Communication Accenture Information Technology Co.,Ltd.,Beijing 10000,China;Inner Mongolia Electric Power(Group)Co.,Ltd.,Hohhot 010010,China)

机构地区：[1]北京国网信通埃森哲信息技术有限公司,北京10000 [2]内蒙古电力(集团)有限责任公司,呼和浩特010010

出　　处：《移动信息》2025年第3期102-104,共3页Mobile Information

摘　　要：在电力行业的生产运行和工程建设中,物资管理至关重要,但传统的物资管理体系在需求预测、采购决策、仓储管理和配送效率等方面存在不足。文中分析了电力行业物资管理的现状及问题,提出了基于人工智能的优化措施,实现了智能需求预测、采购决策优化、智能仓储管理和配送效率提升。同时,探讨了实施这些优化措施存在的难题,如技术支持、人才培养、数据安全、组织保障等,为电力行业的智能化物资管理提供了理论依据和实践指导。In the production operation and engineering construction of the power industry,material management is very important,but the traditional material management system has shortcomings in demand forecasting,procurement decisionmaking,warehousing management and distribution efficiency.This paper analyzes the current situation and problems of material management in the power industry,and proposes optimization measures based on artificial intelligence to achieve intelligent demand forecasting,procurement decision optimization,intelligent warehousing management and distribution efficiency improvement.At the same time,the problems existing in the implementation of these optimization measures,such as technical support,personnel training,data security,organizational security,etc.,provide theoretical basis and practical guidance for intelligent material management in the power industry.

关 键 词：电力行业 物资管理 需求预测 仓储管理 配送效率 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]