(37c) Challenges for Big Data Use of Production Process Data
AIChE Spring Meeting and Global Congress on Process Safety
2018
2018 Spring Meeting and 14th Global Congress on Process Safety
Industry 4.0 Topical Conference
Big Data Analytics and Smart Manufacturing
Monday, April 23, 2018 - 4:30pm to 5:00pm
In particular, the presentation will consider issues of the compression of production data, examples about various types of errors in the measurements, the time delays within a process, and the high correlation of process operation. The knowledge applied to these issues includes the details about the processes that ranges from the physical information about the equipment to the materials and conditions used to the theoretical understanding of the system. The knowledge needed also includes the type of sensors that are used for the measurements and the management and sampling of the data.
In addition, there is a need to understand the various intended use of the data and the appropriate analysis for that intention. The computations should be different if the intent is to predict future action compared to an intent of understanding why a certain defect occurred. This is a difference that is often ignored when analyzing data.
The examples are derived from actual production data to provide actual insight to how these issues have been traditional handled and provide some examples of how advanced analytics has helped with these issues. The intention is to encourage further development of working with production data that deals with these issues and that could be truly fulfill some of the vision of data transparency and advance analytics for manufacturingâs next evolution.
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