The steel industry is an exchange-traded fund that invests primarily in the manufacture of steel and related steel industry products.
The steel industry group contains manufacturers of all steel related products, including mining and production. Steel was once big business in the United States, but these days there are fewer steel mills. Some of these exchange-traded funds have a global reach. China and Russia also produce large amounts of steel.
The US is the world's top steel importer. The value of steel shipped into the US was just over $29 billion in 2017.Nearly 17% of steel imported into the US comes from Canada, according to S&P Global Platts. South Korea, Mexico, Brazil and China are also major exporters to the US.
The steel industry employs people with many different skills and diverse knowledge, who have the ability to work in multi-disciplinary teams. Metallurgy, materials science, physics, chemistry, engineering, environment, mathematics, IT, languages, business and accountancy are just a few of the disciplines where expertise is sought after in the steel industry.
In the coming years, job opportunities are expected to be very good for engineers and skilled production and maintenance workers. Today roughly 5 million people work in steelmaking (including contractors) and a further 1 million in steel service centres, batch galvanizing plants and steel trading. Considering steel’s position as the key product supplier to industries such as automotive, construction.
Automation is the technology by which a process or procedure is performed with minimum human assistance.
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A blockchain, originally block chain, is a growing list of records, called blocks, which are linked using cryptography.
An unmanned aerial vehicle, commonly known as a drone, is an aircraft without a human pilot aboard.
Additive manufacturing is the process of joining materials to make objects from 3D model data, usually layer upon layer, as opposed to subtractive manufacturing methodologies.
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Predictive analytics encompasses a variety of statistical techniques from data mining, predictive modelling, and machine learning, that analyze current and historical facts to make predictions about future or otherwise unknown events.