Common quality reports in steel sheet production include length-thickness profiles and length-surface flatness profiles. Values contained in these reports are collected during the processing of sheet material in various rolling mills and processing lines and stored for each meter of processed steel sheet.
This data is crucial in establishing product quality and identifying process flaws. It is frequently stored in factory information systems on premises, where it is available for traceability and laboratory analysis. Due to the size and pace of report generation, handling these reports presents numerous challenges. Often, only aggregated reports are preserved, while raw data is kept for only a shorter period.
With the current state of cloud technology development and trends in communications promising ever faster connections and almost negligible latencies, arguments for storing such reports in raw format in the cloud are getting only stronger. Cloud storage is affordable, and BI tools for large amounts of data have already been tested in various Big Data projects. Due to the available huge processing power, even real-time analysis could be considered, with feedback to production in various scenarios.