2018 AIChE Annual Meeting

Session: Modeling, Control, and Optimization of Manufacturing Systems

This session includes papers related to modeling, control, and optimization of manufacturing systems. Industrial contributions are highly encouraged. Abstracts containing use of big data for manufacturing systems control are highly desirable.

Chair

Michael Baldea, The University of Texas at Austin

Co-Chair

Q. Peter He, Auburn University

Presentations

08:00 AM

(629a) Real Time Constrained Model Predictive Control for the Continuous Manufacturing of Pharmaceuticals
Vasilios Manousiouthakis, Niraj Mehta, Kelly Nocon, Omar Sheikh

08:19 AM

(629b) Model Predictive Control of a Rotational Molding Process
Abhinav Garg, Felipe P.C. Gomes, Prashant Mhaskar, Michael R. Thompson

08:38 AM

(629c) A Multiparametric Programming Based Approach to Integrate Design, Scheduling, and Control of a Batch Process
Baris Burnak, Efstratios Pistikopoulos

08:57 AM

(629d) Multi-Objective Dynamic Optimisation of a Fed-Batch Nosiheptide Reactor
Alistair D. Rodman, Dimitrios Gerogiorgis

09:16 AM

(629e) Big Data and the Chemical Industry: From Sensor to Value
Flor Castillo, William Hollar

09:35 AM

(629f) Big Data and Iot: A Demonstration Testbed of Multi-Stage Centrifugal Pumping System
Devarshi Shah, Q. Peter He, Jin Wang

09:54 AM

(629g) Pressure Swing Adsorption Cycle Synthesis Utilizing Artificial Neural Networks As Surrogate Models
Karson Leperi, Daison Yancy-Caballero, Randall Snurr, Fengqi You

10:13 AM

(629h) Continuous Control of a Polymerization System with Deep Reinforcement Learning
Yan Ma, Wenbo Zhu, Michael G. Benton, Jose A. Romagnoli