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 Operations
** May 6-13, 2015 **
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 Wednesday through
Friday (May 6-8) will focus on modeling and algorithms with applications
to process optimization, process synthesis and molecular design:
a) Nonlinear programming (Biegler, Wednesday, May 6)
b) Mixed-integer and disjunctive programming (Grossmann, Thursday, May 7)
c) Global optimization and optimization under uncertainty (Sahinidis,
Friday, May 8)
II. Module on Conceptual Design to be taught on Saturday (May 9), will
focus on creation of superior process concept alternatives
d) Process Synthesis (Siirola, Saturday, May 9)
III. Modules on Integrated Process Operations to be taught from Monday
through Wednesday (May 11-13) will focus on three major decision levels in
plant and enterprise-wide optimization:
e) Mixed-integer models for planning and scheduling (Grossmann, Monday, May
f) Advanced process dynamics and control (Ydstie, Tuesday, May 12)
g) Differential/algebraic models for real time optimization (Biegler,
Wednesday, May 13)
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
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
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
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 evening.
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: $650
Any of two modules out of seven: $1150
Any of three modules: $1,600
Any of four modules: $2,000
Any of five modules: $2400
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: $487
Any of two modules out of seven: $862
Any of three modules: $1200
Any of four modules: $1,500
Any of five modules:$1,800
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 well
"Organized very nicely"
"I got a lot out of the course-excellent job!"