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Lectures of Prof. Ignacio Grossmann



Multi-scale Optimization Approaches for Process Systems Engineering Problems

Abstract:

The scope of Process Systems Engineering has been expanded recently beyond the traditional focus on the design and control of process units and process flowsheets. The recent trend has been on the one hand to move towards the molecular level in order to address the design of molecular structures, and on the other hand the move has been towards the enterprise level in order to optimize the supply chain in the process industry. This expanded scope gives rise to challenging multi-scale optimization problems that require integration across several order of magnitude scales in time and length. We will show that logic-based optimization methods, combined with solution approaches based on decomposition and aggregation can be used to tackle some of these problems. We specifically concentrate on three problems to illustrate these points. First, we address the development of new products such as pharmaceuticals and agrochemicals in which the selection of candidate molecules at the discovery phase must be performed in order to schedule the testing for FDA approval, and coordinated with the design of the corresponding batch process. We also show an application to the optimization of metabolic networks. Second, we address two major problems arising in the petroleum and petrochemical industry: the design and planning of oilfield infrastructures, and the synthesis of separation systems for hydrocarbons. Third, we address the problem of production planning for multiproduct plants and scheduling of batch manufacturing facilities. In the three areas of applications we develop mixed-integer and disjunctive programming optimization models for which Lagrangean decomposition methods are used. As will be shown in all these examples, significant economic improvements can be obtained with the proposed optimization models.

http://www.cheme.cmu.edu/who/faculty/grossmann.html
Type of Seminar:

Public Seminar
Speaker:

Prof. Ignacio Grossmann
Automatic Lab - D-ITET - 8092 Zürich and Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, 15213, U.S.A.
Date/Time:

2004-03-30  / 16:15
Location:

ETH Zentrum, Sonneggstrasse 3, ML F 36
Contact Person:

Dr. Stavros Tsantilis
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Trends and Advances in Optimization-based Approaches for Process Systems Engineering

Abstract:

In this talk we first provide a general overview of mathematical programming and its relation to process systems engineering. Next, we present recent advances in logic-based optimization that have allowed the solution of large-scale synthesis and scheduling problems, and for which several examples will be presented. Finally, we discuss the need of broadening the scope of process systems engineering and identify as important trends product design, systems biology, supply chain optimization and sustainable development. For each of these we present examples of recent work in which optimization-based approaches have had a significant impact.

http://www.cheme.cmu.edu/who/faculty/grossmann.html
Type of Seminar:

Public Seminar
Speaker:

Prof. Ignacio Grossmann
Carnegie Mellon University

Dep. of Chemical Engineering

Doherty Hall

Pittsburgh, PA

USA
Date/Time:

2004-03-18  / 11:00
Location:

ETH Hönggerberg, HCI D2
Contact Person:

Prof. Massimo Morbidelli
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Advances in Optimization-based Methods for Planning and Scheduling of Supply Chains in Process Systems

Abstract:

Advances in Optimization-based Methods for Planning and Scheduling of Supply Chains in Process Systems The development of optimization models for planning and scheduling of chemical processes has received significant attention over the last ten years in the area of process systems engineering. Major reasons are the large potential savings that can be achieved by improving the logistics of manufacturing in large-scale continuous proc-esses, as well as in batch manufacturing facilities (e.g. lower inventories, lower transi-tion costs, reduction in production shortfalls). Furthermore, the interest in planning and scheduling has increased with industry’s goal of improving the management and dynamics of their supply chains. In this talk we first provide an overview of planning and scheduling in the process industry, emphasizing both the modeling and computational challenges. We discuss the great variety of considerations that make it extremely challenging to develop general purpose models, as well as solution methods that computationally do not scale exponentially with the size of the problem. We then review mathematical program-ming methods, including the traditional mixed- integer programming techniques, and the recent logic-based optimization methods such as generalized disjunctive pro-gramming and constraint programming. We also examine how to integrate these techniques through Lagrangian decomposition techniques. The specific applications that we will discuss, which have been a result of collaborations with industry, include scheduling of batch plants, multisite production planning of continuous processes, dynamics and optimization of supply chains, long-range planning of off-shore oilfield infrastructures, scheduling of tests for new pharmaceutical and agrochemical products and their integration with manufacturing planning. As will be shown in each of these cases solution techniques have been developed that have led to success stories in real world problems.

http://www.cheme.cmu.edu/who/faculty/grossmann.html
Type of Seminar:

Public Seminar
Speaker:

Prof. Ignacio Grossmann
Automatic Lab - D-ITET - 8092 Zürich and Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, 15213, U.S.A
Date/Time:

2004-04-05  / 16:15
Location:

University of Zürich, Zentrum, room: KO2-F-172
Contact Person:

Prof. H. Garbers
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Advances in Mathematical Programming Techniques for Process Systems Engineering

Abstract:

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.

http://ltcmail.ethz.ch/hungerb/news/news.html
Type of Seminar:

Public Seminar
Speaker:

Prof. Ignacio E. Grossmann
ETH Zurich, Automatic Control Lab. and
Date/Time:

2004-04-26  / 10:30
Location:

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.