Session: Design and Analysis Under Uncertainty (2009 Annual Meeting)

Description:

The use of probabilistic and randomized methods in process design and analysis

Sponsor:

Systems and Process Design

Co-Sponsor(s):

Computers in Operations and Information Processing (10c)

Chair:

Carl D. Laird
Assistant Professor
Texas A&M University
Chemical Engineering
3122 TAMU
College Station, TX 77843
Phone Number: 412-952-3599
Email: carl.d.laird@gmail.com

Co-Chair:

Nikhil Arora

Papers:

508a

A Simple Heuristic for Reducing the Number of Scenarios in Two-Stage Stochastic Programs
Ramkumar Karuppiah, Carnegie Mellon University; Mariano Martín, Carnegie Mellon University; Ignacio E. Grossmann, Carnegie Mellon University

508b

Hierarchical Bayesian Approach to Decision-Oriented Experiment Design and Evaluation for Selection Among R&D Alternatives
Farminder S. Anand, Georgia Institute of Technology; Matthew J. Realff, Georgia Institute of Technology; Jay H. Lee, Georgia Institute of Technology

508c

A New Global Sensitivity Analysis Procedure Involving Quasi Linearization for Optimal Experimental Design
Yunfei Chu, Texas A& M University; Jueregn Hahn, Department of Chemical Engineering, Texas A& M University

508d

Analysis of Parametric Uncertainty in An Advanced Coal Conversion Process Using the Probabilistic Collocation Method
Kenneth Hu, Massachusetts Institute of Technology; Bo Gong, Massachusetts Institute of Technology; Adekunle Adeyemo, Massachusetts Institute of Technology; Gregory McRae, Massachusetts Institute of Technology

508e

Parametric Interval Newton Methods
Matthew D. Stuber, Massachusetts Institute of Technology; Paul I. Barton, Massachusetts Institute of Technology

508f

Computing Fuzzy Trajectories for Nonlinear Dynamic Systems
D. Andrei Măceș, University of Notre Dame; Mark A. Stadtherr, University of Notre Dame

See more of this Group/Topical: Computing and Systems Technology Division

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