Preliminary Program subject to change
10C04 Design & Operations 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

Christos T. Maravelias
Assistant Professor
University of Wisconsin - Madison
1415 Engineering Drive
Madison, WI 53706
Phone Number: 608-265-9026
Email: maravelias@wisc.edu

* Membership Number 0090120737

CoChair

Donald J. Chmielewski
Assistant Professor
Illinois Institute of Technology
Suite 127, Perlstein Hall
10 West 33rd Street
Chicago, IL 60616
Phone Number: 312-567-3537
Fax Number: 312-567-8874
Email: chmielewski@iit.edu
Sampling-Based Bayesian Modeling with Proper Likelihood and Prior Information
Hongshu Chen, Department of Chemical & Biomolecular Engineering, The Ohio State University, 125A Koffolt Labs 140 W. 19th Ave, Columbus, OH 43210, Bhavik R. Bakshi, Department of Chemical and Biomolecular Engineering, The Ohio State Unversity, Columbus, OH 43210 and Prem K. Goel, Department of Statistics, The Ohio State University, 404 Cockins Hall 1958 Neil Ave., Columbus, OH 43210
A Novel Multiparametric Programming Framework And Its Application In Scheduling Under Uncertainty
Zukui Li, Department of Chemical and Biochemical Engineering, Rutgers University, Piscataway, NJ 08854 and Marianthi Ierapetritou, Chemical and Biochemical Engineering, Rutgers University, 98 Brett Road, Piscataway, NJ 08854
An Algorithm For Multi-Objective Decision-Making Under Severe Uncertainty
Aditi Singh, Lamar University, PO Box 10053, Lamar University, Beaumont, TX 77710 and Helen H. Lou, Department of Chemical Engineering, Lamar University, P.O.Box 10053, Beaumont, TX 77710
Decomposition Method For Solving Mixed Integer Nonlinear Model For Oilfield Exploration And Production Operations Under Uncertainty
Bora Tarhan, Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213 and Ignacio E. Grossmann, Dept of Chemical Engineering, Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA 15213
Risk Asessment in Refinery Operations Planning Under Demand Uncertainty and Product Pricing
Miguel J. Bagajewicz1, Kitipat Siemanond2 and Hansa Lakkhanawat2, (1)Chemical, Biological and Materials Engineering, University of Oklahoma, 100 E. Boyd St., T-335, Norman, OK 73019, (2)Chulalongkorn University, Chula Soi 12, Phyathai Rd, Bangkok, 10330, Thailand
Management of the Pharmaceutical Research and Development Pipeline Using Stochastic Programming
Christos T. Maravelias, University of Wisconsin - Madison, 1415 Engineering Drive, Madison, WI 53706 and Matthew Colvin, Chemical and Biological Engineering, University of Wisconsin - Madison, 1415 Engineering Drive, Madison, WI 53706

Computing and Systems Technology Division