Preliminary Program subject to change
10C10 Design & Operation Under Uncertainty
OverviewThe issue of uncertainty has been the focus of numerous publications in the last decade. A lot of advantages have thus been reported in terms of uncertainty characterization, evaluation and modeling within process design and operations. However, a number of issues are still unresolved and necessitate the need of additional work in this area. Among them are questions regarding the efficient solution of large-scale problems and the applicability of the proposed methodologies in realistic case studies. Papers are sought that describe: (i) modeling, algorithmic development and solution procedures for the design and operation under uncertainty, (ii) characterization of system behavior under uncertainty, (iii) evaluation of feasible region of design operation for realistic nonconvex cases, and (iv) integration of uncertainty analysis within process design and operations in a unified framework.
Primary SponsorComputers in Operations and Information Processing (10c)

Chair

Yinlun Huang
Professor
Wayne State University
5050 Anthony Wayne Drive
Detroit, MI 48202
Phone Number: 313-577-3771
Fax Number: 313-577-3810
Email: yhuang@wayne.edu

CoChair

Marianthi Ierapetritou
Professor
Rutgers University
Department of Chemical and Biochemical Engineering
98 Brett Road
Piscataway, NJ 08854-8058
Phone Number: 732-445-2971
Fax Number: 732-445-2421
Email: marianth@sol.rutgers.edu
Strategic Capacity Decisions in Manufacturing Using Stochastic Dynamic Programming
Nikolaose PratIkakis1, Tamir A. Hegazy2, Matthew J. Realff3 and Jay H. Lee3, (1)Chemical and Biomolecular Engineering, Georgia Institute of Technology, Ford Environmental Science & Technology Building 311 Ferst Drive, N.W., Atlanta, GA 30332, (2)Center for Process Systems Engineering, Georgia Institute of Technology, Ford Environmental Science & Technology Building 311 Ferst Drive, N.W., Atlanta, GA 30332, (3)Chemical and Biomolecular Engineering, Georgia Institute of Technology, Ford Environmental Science & Technology Building 311 Ferst Drive, N.W., Atlanta, GA 30332
Using Dynamic Flexibility Analysis to Integrate Design and Control under Uncertainty
Andres Malcolm and Andreas Linninger, University of Illinois at Chicago, 810 S Clinton St, Chicago, IL 60607
Improved Procedure for Estimating Process Design Reliability
Elim R. Myers, Chemical and Petroleum Engineering, University of Kansas, 4132 Learned Hall, 1530 W. 15th Street, Lawrence, KS 66045-7609 and Colin S. Howat III, Chemical and Petroleum Engineering, University of Kansas, 4148B Learned Hall & Kurata Thermodynamics Laboratory, 1530 W. 15th Street, Lawrence, KS 66045-7609
A Multistage Stochastic Programming Approach with Strategies for Uncertainty Reduction in the Planning of Process Networks with Uncertain Yields
Bora Tarhan, Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213 and Ignacio E. Grossmann, Chemical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213
Generate Pareto Optimal Solutions for Scheduling Problems under Uncertainty Using Normal Boundary Intersection Technique
Zhenya Jia, Chemical and Biochemical Engineering, Rutgers University, 98 Brett Road, Piscataway, NJ 08854 and Marianthi Ierapetritou, Rutgers University, Department of Chemical and Biochemical Engineering, 98 Brett Road, Piscataway, NJ 08854-8058
Monitoring the Performance of Lp Optimization with Uncertain Parameters
Thomas E. Marlin, Department of Chemical ENgineering, McMaster University, 1280 Main Street West, Hamilton, ON L8S 4L7, Canada and Danielle Zyngier, Department of Chemical Engineering, McMaster University, 1280 Main Street West, Hamilton, ON L8S 4L7, Canada
Managing Technological Risk in Process Design Using Detailed Models
Rodrigo F. Blanco Gutierrez, Imperial College London, Centre for Process Systems Engineering, Imperial College London, London, SW7 2AZ, UK, Claire Adjiman, Centre for Process Systems Engineering, Department of Chemical Engineering, Prince Consort Road, London, SW7 2BY, UK and Constantinos C. Pantelides, Imperial College London / Process Systems Enterprise Ltd, Centre for Process Systems Engineering, London, SW7 2AZ, UK

Computing and Systems Technology Division