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Advances in Mathematical Programming Techniques for Process Systems Engineering

In this presentation we provide an overview of our research work at Carnegie Mellon, which is aimed at developing new mathematical programming models and methods for process systems engineering. We first consider disjunctive programming for which new cutting plane techniques are being developed in order to improve big-M formulations with cuts derived from convex hulls. We also describe a global optimization method for disjunctive problems that arise in process networks with nonconvex functions, and in which the idea is to use piecewise linearizations. We present as a motivating example an application in the area of metabolic engineering. We consider next continuous-time batch scheduling problems with emphasis on hybrid methods that integrate mixed-integer programming and constraint programming techniques with the aim of greatly reducing the computational expense for solving these problems. Finally, we describe a multistage stochastic optimization formulation that is applied to the planning of offshore gasfileds with uncertain reservoir sizes and production rates, and for which an approximation scheme is proposed.
Type of Seminar:
Public Seminar
Prof. Ignacio E. Grossmann
ETH Zurich, Automatic Control Lab. and
Apr 26, 2004   10:30

ETH Hönggerberg, HCI, H2 (Location)
Contact Person:

Prof. M. Morari
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Biographical Sketch:
Ignacio E. Grossmann is the Rudolph R. and Florence Dean University Professor of Chemical Engineering, and former Department Head at Carnegie Mellon University. He obtained his B.S. degree in Chemical Engineering at the Universidad Iberoamericana, Mexico City, in 1974, and his M.S. and Ph.D. in Chemical Engineering at Imperial College in 1975 and 1977, respectively. After working as an R&D engineer at the Instituto Mexicano del Petróleo in 1978, he joined Carnegie Mellon in 1979. He was Director of the Synthesis Laboratory from the Engineering Design Research Center in 1988-93. He is currently member of the "Center for Advanced Process Decision-making" which comprises a total of 15 chemical and petroleum companies. Ignacio Grossmann is a member of the National Academy of Engineering, Mexican Academy of Engineering, and associate editor of AIChE Journal and member of editorial board of Computers and Chemical Engineering, Journal of Global Optimization, Optimization and Engineering, and Latin American Applied Research. Major awards include the 1984 Presidential Young Investigator Award, the 1994 Computing in Chemical Engineering Award of the CAST Division of AIChE, the 1997 William H. Walker Award of AIChE, in 2002 Honorary Doctor in Technology from Åbo Akademi in Finland, Fellow of INFORMS and Top 15 Most Cited Author in Computer Science by ISI, and the recipient of the 2003 Computer Society Prize of INFORMS. He was also recipient of the Best Technical Paper in 1988, 1996, 1998 and 2000 of Computers and Chemical Engineering. The research interests of Ignacio Grossmann are in the areas of process synthesis, energy integration, planning and scheduling of batch and continuous processes, supply chain optimization, optimization under uncertainty, and mixed-integer and logic-based optimization. He has authored more than 200 papers, several monographs on design cases studies, and the textbook "Systematic Methods of Chemical Process Design." Professor Grossmann has graduated 34 Ph.D. and 3 M.S. students.