The Center for Advanced Process Decision-making (CAPD) at Carnegie
Mellon University is pleased to offer a seven-day course entitled:
Optimization Modeling, Conceptual Design, and Integrated Process
** May 9-15, 2013 **
This course is taught by Professors Biegler, Grossmann, Sahinidis,
Siirola and Ydstie, and is organized in seven modules that can be taken
altogether or in subsets. The topics include nonlinear, discrete and
global optimization, conceptual design, and integrated process planning,
scheduling and control. The course stresses the application of
optimization models and methods to practical process problems, and
recently developed process synthesis concepts. 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.
Seven course Modules (a)-(g):
I. Modules on Optimization Modeling to be taught from Thursday through
Saturday (May 9-11) will focus on modeling and algorithms with
applications to process optimization, process synthesis and molecular
a) Nonlinear programming (Biegler, Thursday, May 9)
b) Mixed-integer and disjunctive programming (Grossmann, Friday, May 10)
c) Global optimization and optimization under uncertainty (Sahinidis,
Saturday, May 11)
II. Module on Conceptual Design to be taught on Sunday (May 12), will
focus on creation of superior process concept alternatives
d) Process Synthesis (Siirola, Sunday, May 12)
III. Modules on Integrated Process Operations to be taught from Monday
through Wednesday (May 13-15) will focus on three major decision levels
in plant and enterprise-wide optimization:
e) Mixed-integer models for planning and scheduling (Grossmann, Monday,
f) Differential/algebraic models for real time optimization (Biegler,
Tuesday, May 14)
g) Advanced process dynamics and control (Ydstie, Wednesday, May 15)
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,
optimization of differential-algebraic systems, nonlinear process
control, state estimation, parameter estimation and model
discrimination. He is a 1985 Presidential Young Investigator, a
recipient of the 1996 ASEE McGraw Award and the 2000 AIChE Computing in
Chemical Engineering Award, the 2009 AIChE Warren Lewis Award, the 2009
INFORMS Computing Society Prize, the Nordic Process Control Award in
2012, the CACHE Computing in Chemical Engineering Education Award and an
honorary doctorate from the Technical University of Berlin.
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, the 2003 INFORMS Computing Society Prize and the 2009 AIChE
Warren Lewis Award. He is a member of the National Academy of
Engineering, Fellow of AIChE and INFORMS, and holds an honorary
doctorates from Abo Academy in Finland, Univ. Maribor in Slovenia and
Technical University of Dortmund.
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, the 2006
Beale-Orchard-Hays Prize from the Mathematical Programming Society, and
the 2010 Computing in Chemical Engineering Award from AIChE.
Jeffrey J. Siirola retired in 2011 as a Technology Fellow at Eastman
Chemical Company where he had been for more than 39 years leading a
group in process synthesis. He now holds half time positions as
Professor of Engineering Practice at Purdue University and Distinguished
Service Professor of Sustainable Energy Systems at Carnegie Mellon
University. Jeff received his Ph.D. from the University of
Wisconsin-Madison in 1970. His areas of interest include chemical
process synthesis, computer-aided conceptual process engineering, design
theory and methodology, chemical process development and technology
assessment, resource conservation and recovery, sustainable development
and growth, carbon management, and chemical engineering education. Jeff
is Secretary of ABET, and a trustee and past president of CACHE. He is
a member of the National Academy of Engineering and was the 2005
President of the American Institute of Chemical Engineers.
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 Massachusetts, 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 the board at Solar Silicon
Oslo, 1999 - 2000. He is recipient of the 2007 Computing in Chemical
Engineering Award of AIChE.
Time: Seven days, Thursday through Wednesday, 8:30 am to 6:00 pm. Held
in the CAPD Conference Room, Doherty Hall 4201, Carnegie Mellon University.
Lodging: Housing arrangements may be made directly with the Holiday Inn
at University Center (412-682-6259), 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
$141 + tax per night for a single room plus parking fee of $20 per day.
Fees: The fees include all instructional materials, background
materials, a manual of notes, computer use, parking, a continental
breakfast each day,a closing luncheon as well as a dinner on Saturday
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 Laura Shaheen at
[log in to unmask] (Tel: 412-268-6344; 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 that time.
The price for taking the modules is as follows:
One module out of seven: $560
Any of two modules out of seven: $960
Any of three modules: $1,600
Any of four modules: $1,900
Any of six modules: $2,800
All seven modules: $3,200
For members of CAPD there is a 25% discount.
One module out of seven: $420
Any of two modules out of seven: $720
Any of three modules: $1200
Any of four modules: $1,425
Any of six modules: $2,100
All seven modules: $2,400
Testimonials of Past Participants...
"I liked the combination of theoretical and practical applications of
the optimization methods. The rationale behind each technique was also
"Organized very nicely"
"I got a lot out of the course-excellent job!"