68 Big Data Analytics and Smart Manufacturing I

Tuesday, April 12, 2016: 8:00 AM - 9:30 AM
335A (Hilton Americas - Houston)

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.

Topical A: 2nd Big Data Analytics
Innovative Manufacturing (T3)
Thomas F. Edgar Email: tfedgar@austin.utexas.edu
- indicates paper has an Extended Abstract file available on the online proceeding.

8:30 AM
(68b) Big Data Based Models of Operators Cognition and Situational Awareness during Process Operations
Punitkumar Bhavsar, Madhu Kodappully, Sweta Parmar, Babji Srinivasan and Rajagopalan Srinivasan

9:00 AM
(68c) Common Myths and Misconceptions of Online Analyzers
J.D. Tate, Paul Coram and Louise Mahoney
See more of this Group/Topical: Topical A: 2nd Big Data Analytics