首页> 外文会议>IEEE International Conference on Industrial Engineering and Engineering Management >An Application on Building Information Model to Procurement Strategy of Copper Raw Material with Big Data Analytics
【24h】

An Application on Building Information Model to Procurement Strategy of Copper Raw Material with Big Data Analytics

机译:大数据分析建设信息模型与铜原料采购策略的应用

获取原文

摘要

This research uses big data analysis to find the key factors of copper futures price fluctuations, successfully predicts copper price fluctuations, and applies them to the purchase strategy of copper raw materials for plant construction to help reduce plant construction costs. Since copper is an indispensable raw material in all building structures and pipeline configuration, the control of prices will help manufacturers from all walks of life to control the fluctuations in the price of copper raw materials and reduce the cost of building plants in the early stage of plant construction. Manufacturers "win at the starting point."
机译:本研究采用大数据分析来查找铜期货价格波动的关键因素,成功预测铜价波动,并将其应用于铜原料的购买策略,以帮助降低植物建设成本。由于铜是所有建筑结构和管道配置中不可或缺的原材料,因此价格的控制将帮助制造商从各界人士中控制铜原料价格的波动,并降低早期建筑厂的成本厂房建设。制造商“在起点胜利”。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号