204 Smart Manufacturing Aspects of Big Data

Wednesday, April 29, 2015: 1:30 PM
12B (Austin Convention Center)
We seek contributions that reflect the use of new information streams (e.g., real-time asset tracking, large numbers of wireless sensors and actuators, big data analytics), ubiquitous distributed computing and cloud-based computational resources, to enhance decision making, both in process design and in process operations. Theoretical developments and applications of interest include (but are not limited to) the use of high-fidelity (e.g., computational fluid dynamics) models in real-time operations, integration of operations and supply chains across multiple industries (including industrial demand response) and methods for tighter coordination between the control, scheduling and planning functions of the chemical supply chain.
Big Data (TA)

Michael Baldea
Email: mbaldea@che.utexas.edu

Mark Nixon
Email: mark.nixon@emerson.com

- indicates paper has an Extended Abstract file available on CD.

File available
1:30 PM
(204a) Process Learning Data Pipeline for Dealing with the Big Data Challenges
Shu Xu, Willy Wojsznis, Mark Nixon, Michael Baldea and Thomas F. Edgar

2:30 PM
(204d) Applying Statistical Methodology and Multivariate Analysis on Big Data to Improve the Data Quality and Process Operation
Swee-Teng Chin, Ivan Castillo, Anna McClung, Matthew Mengel, Erin Johnson and Leo H. Chiang
See more of this Group/Topical: Big Data Analytics