419 Design Under Uncertainty


Description:
Although the problems associated with optimal design and operation of process systems under uncertainty have been receiving increasing attention since the early 1990s, there are still several key areas that needs to be addressed. This session invites contributions in developments of (i) novel approaches for quantification and propagation of uncertainty, (ii) new models, methods and algorithms to incorporate uncertainty, and (iii) novel approaches to solve the resulting problems in process synthesis, design and operations area. The papers that incorporate simulation and optimization are encouraged.

Sponsor:
Systems and Process Design
Co-Sponsor(s):
Computers in Operations and Information Processing (10C)


Chair:
Matthew D. Stuber
Assistant Professor
University of Connecticut
Chemical and Biomolecular Engineering
Storrs, CT
Email: matthew.stuber@uconn.edu

Co-chairs:
Ali Mesbah
Assistant Professor
University of California - Berkeley
Department of Chemical and Biomolecular Engineering
Berkeley, CA
94720
Email: mesbah@berkeley.edu

Zukui Li
Assistant Professor
University of Alberta
Department of Chemical and Materials Engineering
Edmonton, AB
T6G2V4
Email: zukui@ualberta.ca

Brianna Christian
Graduate Student
Auburn University
Department of Chemical Engineering
Auburn, AL
Email: bzc0043@auburn.edu


Papers:
419a
A Surrogate-Based Method for Constrained Optimization with Black-Box Noisy Simulations
Zilong Wang, Rutgers, The State University of New Jersey; Marianthi Ierapetritou, Rutgers, The State University of New Jersey
419b
Efficient Solution of Mixed-Integer Multistage Stochastic Programs for the Optimal Design of Smart Manufacturing Systems Using “Smooth-in-Expectation” Decision Rules
Alphonse Hakizimana, Clemson University; Joseph Scott, Clemson University
419c
A Generalized Knapsack-Problem Based Decomposition Heuristic to Solve Large-Scale Multistage Stochastic Programs
Brianna Christian, Auburn University; Zuo Zeng, Auburn University; Selen Cremaschi, Auburn University
419d
Mixed-Integer Nonlinear Programming Models for Optimal Design of Reliable Chemical Plants
Yixin Ye, Carnegie Mellon University; Ignacio E. Grossmann, Carnegie Mellon University; Jose M. Pinto, Praxair, Inc.; Sivaraman Ramaswamy, Praxair, Inc.
419e
Network Design with Uncertain Edge Failures: Two-Stage Robust Optimization for Single-Commodity Networks
Logan R. Matthews, Princeton University; Chrysanthos E. Gounaris, Carnegie Mellon University; Ioannis G. Kevrekidis, Princeton University
419f
Robust Process Intensification and Optimization: Application to Carbon Capture Systems
Michael Matuszewski, Carnegie Mellon University; Lorenz T. Biegler, Carnegie Mellon University
419g
Robust Optimization Using Polyhedral Norm and General Asymmetric Uncertainty Set
Zukui Li, University of Alberta
Abstract Submissions Closed
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