39 Big Data Analytics and Statistics

Monday, April 1, 2019: 3:30 PM - 5:00 PM
Marlborough A (Hilton New Orleans Riverside)

Description:
The session welcomes contributors that highlight the application of statistics in Big Data Analytics in the process industries. The topics could potentially cover (but are not limited to) the planning of data collection, data pre-processing or management, data summarization to extract useful information, making inferences or predictions, etc. and should demonstrate how the methodology deals with the challenges in the big data setting (the 4Vs) with the goal of improve or optimize the process design or operations. The goal here is to highlight the importance of Statistics in Big Data Analytics applications.

Sponsor:
5th Big Data Analytics
Chair:
Swee-Teng Chin Email: SChin@dow.com
Co-Chair:
Mark Joswiak Email: mnjoswiak@dow.com


3:30 PM
(39a) Value of Increasing Sample Size for Assessing Defect Concentration
Brenda Colegrove, Swee-Teng Chin, Mark Webb and Casey McAlpin


4:00 PM
(39b) Disturbance Tracking in Industrial Milk Powder Process Systems
Irina Boiarkina, Arrian Prince-Pike, Nick Depree, Wei Yu, David Wilson and Brent R. Young

See more of this Group/Topical: Industry 4.0 Topical Conference