Digital Twin model for Predictive Maintenance

Traditional steel plant maintenance relies on corrective and preventive IT-based maintenance systems. However, there’s a growing need for a more efficient approach—one that enhances plant performance, extends longevity and improves energy efficiency. IDOM’s maintenance optimization strategy achieves this by integrating digital twin, IoT and machine learning tech. This three-fold approach establishes an advanced management framework that includes IoT, ML, GIS, mobile and more. <br/>By fostering an interconnected stakeholder network, IDOM promotes collaborative asset management. Embrace the future of steel industry maintenance with IDOM’s innovative approach, which unites technology and collaboration to achieve optimal operational efficiency and sustainable plant practices.

Authors:

Mr Arkaitz Etxebarria | IDOM
 

Session Chairs:

Jacqueline Peintinger | AMETEK Surface Vision
 

Brad Morgan | Nucor Steel Arkansas