The Center for Advanced Process Decision-making (CAPD) at Carnegie Mellon
University will offer a six-day course entitled:
Optimization Modeling and Integrated Process Operations
** March 12-18, 2009 **
This course is organized in six modules that can be taken in any combination
(e.g., 1,2,3..6 modules). Topics covered include nonlinear, discrete and
global optimization, and integrated process planning, scheduling and
control. The course stresses the application of recently developed
optimization models and methods to practical process problems.
Geared to the practitioner, this course provides practical information and
exposure to powerful and sophisticated modeling tools for process synthesis,
planning, scheduling and dynamics and control, including treatment of
uncertainty. In addition, the course emphasizes systematic solution
approaches and provides the necessary background to understand the tools and
apply them correctly and efficiently to your process problem.
Course participants will address these topics through lectures and hands-on
workshops. Specific computer methods will include modeling tools, nonlinear
and mixed integer programming codes.
You Should Attend If...
- you are a process engineer interested in obtaining improved solutions for
your design, planning, scheduling and control problems.
- you are an engineer interested in learning how to formulate models for
process design and synthesis, and for process and enterprise-wide
optimization, and how to solve them with advanced computer tools.
- you are a manager interested in understanding and introducing these tools
in your working environment.
- you are a researcher interested in quickly testing new process ideas and
concepts through the use of optimization-based tools.
Six course Modules (a)-(h):
Modules on Optimization Modeling to be taught from Thursday through Saturday
(March 12-14) will focus on modeling and algorithms with applications to
process optimization, process synthesis and molecular design:
a) Nonlinear programming (Biegler, Thursday, March 12)
b) Mixed-integer and disjunctive programming (Grossmann, Friday, March 13)
c) Global optimization and optimization under uncertainty (Sahinidis,
Saturday, March 14)
Modules on Integrated Process Operations to be taught from Monday through
Wednesday (March 16-18) will focus on three major decision levels in plant
and enterprise-wide optimization:
f) Mixed-integer models for planning and scheduling (Grossmann, Monday,
g) Process dynamics and control (Ydstie, Tuesday, March 17)
h) Differential/algebraic models for real time optimization (Biegler,
Wednesday, March 18)
The material in each module is independent and self-contained and can be
taken in any combination. A detailed description of the topics covered in
the course is given in:
Lorenz T. Biegler is Bayer Professor of Chemical Engineering at Carnegie
Mellon. He obtained his doctorate in chemical engineering at the University
of Wisconsin in 1981 and joined Carnegie Mellon University in the same year.
His research interests include process optimization and the optimization of
differential-algebraic systems. A 1985 Presidential Young Investigator, a
recipient of the 1996 ASEE McGraw Award and the 2000 AIChE Computing in
Chemical Engineering Award, the CACHE Computing in Chemical Engineering
Education Award and Fellow of the AIChE. He is a consultant for a number of
Ignacio E. Grossmann, Dean University Professor and Former Head of Chemical
Engineering at Carnegie Mellon, obtained his master of science and doctorate
in chemical engineering from Imperial College, London. He joined Carnegie
Mellon in 1979 after one year of industrial experience with the Instituto
Mexicano del Petroleo. His interests are in the areas of mixed-integer and
logic based programming, process synthesis, enterprise-wide optimization,
and planning and scheduling. He was a recipient of the 1984 Presidential
Young Investigator Award, the 1995 Computing in Chemical Engineering Award,
the 1997 William Walker Award of AICHE and recipient of the 2003 INFORMS
Computing Society Prize. He is a member of the National Academy of
Engineering, Fellow of AIChE and holds honorary doctorates from Abo Academy
in Finland and Univ. Maribor in Slovenia.
Nikolaos V. Sahinidis is Swearingen Professor of Chemical Engineering at
Carnegie Mellon University. He obtained his Ph.D. from Carnegie Mellon in
1990 and joined the faculty at Carnegie Mellon in 2007, after a sixteen-year
long career at the University of Illinois at Urbana. His research has
focused heavily on the development of theory, algorithms, and software for
global optimization of mixed-integer nonlinear programs, with applications
in X-ray imaging, bioinformatics, and molecular design. His BARON global
optimization software has found applications in fields ranging from
computational chemistry to energy modeling. His research activities have
been recognized by several awards, including the 2004 INFORMS Computing
Society Prize and the 2006 Beale-Orchard-Hays Prize from the Mathematical
Erik Ydstie is Professor in the Department of Chemical Engineering. He
obtained his doctorate in chemical engineering from Imperial College,
London. He joined Carnegie Mellon in 1992 after spending several years at
the University of Masachusetts, Amherst. His interests are in the real time
adaptive control and optimization, dynamics and control of complex networks,
design and control of particulate processes with application to solar cell
production, and design and control of multi-phase reactor systems. He was
Director of R&D at ELKEM ASA in 1999-2000, and board member and chairman of
board SolarSilicon , Oslo,
1999 - 2000. He is recipient of the 2007 Computing in Chemical Engineering
Award of AIChE.
Time: Thursday through Saturday, Monday through Wednesday, 8:30 am to 6:00
pm. CAPD Conference Room, Doherty Hall, Carnegie Mellon University.
Lodging: Housing arrangements may be made directly with the Holiday Inn at
University Center (412-682-6200), which is approximately four (4) blocks
from the CMU campus. A block of rooms has been reserved for the
participants. When reserving your room please state that you are with
CMU- Chemical Engineering CAPD group. The current rate is approximately
$126 + tax per night for a single room plus parking fee of $17 per day.
Fees: The fees include all instructional materials, background materials, a
manual of notes, computer use, parking, a continental breakfast each day,
and a closing luncheon. In addition a free copy of Chemical Engineering
Optimization Problems with GAMS, which includes PC-based software will be
provided as well as a copy of Systematic Methods of Chemical Process Design
by Biegler, Grossmann, and Westerberg.
Note: a 25% discount is available to industrial affiliates of the CAPD
Consortium. Please make checks payable to: Carnegie Mellon University,
Department of Chemical Engineering.
Registration: Register by completing and returning the form in:
If you need specific information please contact Toni McIltrot at
[log in to unmask] (Tel: 412-268-3573; Fax: 412-268-7139). As the course
format limits class size, please notify us 10 days before the start of a
session should you wish to transfer or cancel your registration. A $250
service charge is assessed if notification of cancellation is received after
The price for taking the modules is as follows:
One module out of six: $560
Any of two modules out of six: $960
Any of three modules: $1,600
All six modules: $2,800
For members of CAPD there is a 25% discount.
One module out of six: $420
Any of two modules out of six: $720
Any of three modules: $1,200
All six modules: $2,100
Testimonials of Past Participants...
Excellent course that covers a lot of topics and discusses most of the
important issues within these topics.
I got a lot out of the course-excellent job!
All lecturers were excellent!