摘要
应用大数据的技术与理念,全面利用后端和前端业务数据资源,构建了一套全面完整的配网物资需求组合预测模型,形成包含年度采购需求计划和月度滚动供应计划在内的需求预测体系,实现采购计划统筹提报、物资供应缺货预警与供应商产能备货前瞻安排,提升了需求计划准确性。
The application of big data＇s technology and theo and the overall use of back.end and front-end business data sources would instruct a complete set of distribution line net- work demand combined forecast model, establish a demand forecasting system which includes annual purchase demand plan and monthly rolling plan to help realizing the purchase plan as a whole, material supply shortage warning and the capacity of the supplier delivery prospective arrangements, enhance accuracy of the demand plan.
作者
顾晔
王剑
高峻峻
GU Ye WANG Jian GAO Jun-jun(State Grid Zhejiang Procurement Company, Hangzhou 310003, China SHU-UTS SILC Business School, Shanghai University, Shanghai 201800, China)
出处
《物流科技》
2017年第5期44-46,共3页
Logistics Sci-Tech
关键词
配网物资
需求分析
需求预测
distribution line material
demand analysis
demand forecasting
