Why Use Manufacturing Analytics?

Manufacturing Analytics, why use it? On the Automation World blog, Luigi De Bernardini's point of view.

I recently attended three different conferences. One of the common themes that emerged is the value that statistical data processing can bring to the manufacturing process. This is referred to as manufacturing analytics. I met several technology providers, system integrators and end users from different industrial environments. In all cases, the consensus was that the ability to analyze manufacturing data with complex mathematical algorithms has the potential to provide competitive advantage through increased efficiency and reduced risk of being heavily dependent on staff experience.

Most manufacturing companies began methodically gathering process data some years ago. It started in the regulated industries, such as pharmaceuticals and life sciences. Others soon followed, motivated by the idea that knowing what happens in the production process can be a useful element to diagnosing and troubleshooting problems. This has led to the storage of significant volumes of data. Statistical analysis tools, previously applied primarily in the study of demographics and macro-economics, are now being used to find patterns and correlations between independently collected data for manufacturing purposes.

Use of manufacturing analytics gives companies three main advantages...

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