A Mini-Tutorial for Managers and Practitioners: Machine Learning for Process Improvement in Iron and Steel Manufacturing

摘要

As a toolkit and a guide for executives, managers and practitioners, this paper describes why and how advanced analytics and machine learning (ML) is applied to help achieve significant breakthroughs in process improvement for blast furnace operations, measured in terms of quantity and quality of output. The discussion will focus on practical aspects of implementing ML in production environments while also attending to business requirements of profitability and cost reduction. Specifically. ML methods will be described that allow model accuracies of ～90%.