2019 Pittsburgh AISTech

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Production Quality Secured by New Real-Time Plant Condition KPI Approach at Big River Steel’s CSP® Mill (Room 315)

At Big River Steel (BRS), data across all automation layers are collected close to real time in a process data warehouse (PDW) and transformed into information using extract transform load (ETL) principles. As a first step, a system is implemented at the CSP® plant, which uses the collected information to determine — using rules-based-approaches, statistical analyses and math learning principles — key performance indicators (KPIs) to evaluate and predict the plant condition with respect to product quality and capability to produce certain grades and dimensions. This information is used for optimized production planning in both the forward and backward directions.