Rapid Insights and Operational Intelligence for the shop-floor
By
Gopal GopalKrishnan, P.E., Solution Architect, Partners and Strategic Alliances, OSIsoft,
LLC. Member, MESA International Technical and Education Committee
Not all big-data is hype. Self-service BI with its slice
and dice user experience came along just as big-data was gaining
mindshare. And, when targeted to specific use cases, self-service BI with
data analytics can yield rapid insights – big data or not.
This is Part 2 of a blog post series
describing the use of self-service BI and data analytics from real-life scenarios
in MOM
(manufacturing operations management).
This use case comes from one of Georgia Pacific’s (GP) paper
machine operation.
To read Part 1 click here: http://blog.mesa.org/2015/02/what-if-expedia-showed-your.html#links.
To read Part 1 click here: http://blog.mesa.org/2015/02/what-if-expedia-showed-your.html#links.
If you are not familiar with how paper is made, please see this interactive video
tour. The data and analysis described below is for
the “Papermaking” step in the video tour.
Here, several chemicals are added to the feed stock to influence its properties
such as whiteness, strength, and others.
