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

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".