Prospective Applications of Big Data Analytics in Iron & Steel Industry

摘要

In Iron and Steel industry, a large volume of data is being generated on a daily basis. These huge amounts of data or “big data" are generatedfrom various areas such as planning,process design, materials, assembly,production, quality,process control, scheduling, fault diagnosis, maintenance, ERP, and so on are collected in different databases. Like in any other industry, big data analytics is rapidly becoming a valuable tool for knowledge acquisition for industrial process of iron and steel making. With more and more advancement in Big Data Analytics and generation of bulk quantity of process as well as business data, various manufacturing industries like Iron & Steel industry have started using data analytics technology to search the hidden patterns from the data, which was earlier never thought of. These patterns might further be applied to the system with the new knowledge with the objective to design new models to improve the quality of production, productivity, optimum cost, timely maintenance etc. The continuous improvement of all steel production processes regarding the avoidance of quality deficiencies and the related improvement of production yield is an essential task of steel producer. Nowadays, various machine learning tools are increasingly being used in analyzing large amount of data being generated in the steel industry on a daily basis. With the use of various machine learning algorithms, applications, and tools, manufacturers are trying to develop new models for business as well as processes, enhance product quality, and optimize its shop floor operations. Big data driven neural networks are increasingly being used in various process control systems for optimizing various manufacturing processes. In this paper, the various benefits of big data analytics and its applicability in modern Iron & Steel industry are discussed.