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ALPLA, a global leader in packaging solutions, faced several challenges as the complexity of their production machinery increased. The need for highly trained specialists in each factory led to higher personnel costs, difficulties in recruiting experienced talent at each location, and costly personnel turnover. Furthermore, less experienced operators running the machines sub-optimally impacted resource consumption and overall equipment effectiveness (OEE). ALPLA also faced the challenge of monitoring visual inspection systems in every line of their plants, which was almost impossible to do manually. In 2016, ALPLA decided to use data from the 900 different types of embedded sensors in each factory to address these issues. However, their initial choice of SQL Server as the data store for the sensor data proved inadequate, as it was unable to cope with their data requirements.
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