Big Data Analytics and Smart Manufacturing I

Chair(s):
He, Q. P., Auburn University
Co-chair(s):
Xu, T., DuPont

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.

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Individuals

AIChE Members $150.00
AIChE Graduate Student Members Free
AIChE Undergraduate Student Members Free
Non-Members $225.00