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In the steelmaking sector, improving the steel ladle logistics can be leveraged to enhance energy efficiency regarding the refractory lining’s thermal behavior and lifetime. The inefficient management of ladles can yield unexpected results, such as failure to achieve the production and quality targets, excessive energy losses, and reduction of the lifetime of the ladles. Hence, incorporating advanced analytics tools into the decision making process is essential to achieve higher production demands while being energy efficient during the entire lifetime of the ladles.
steel ladle, Advanced analytics, energy efficiency, mathematical programming
steel ladle, Advanced analytics, energy efficiency, mathematical programming
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