This is a final reminder about the CAPD short course on optimization,
design, operations on the campus of Carnegie Mellon University,
Pittsburgh, PA, May 9-17, 2018.
Optimization, Design, Operations CAPD Short Course, May 9-17, 2018
The Center for Advanced Process Decision-making (CAPD) at Carnegie
Mellon University is pleased to offer an eight-day course entitled:
Optimization Modeling, Conceptual Design, and Integrated Process Operations
** May 9-17, 2018 **
This course is taught by Professors Biegler, Gounaris, Grossmann,
Sahinidis, Siirola and Ydstie, and is organized in eight 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.
Eight course Modules (1)-(8):
I. Module on Conceptual Design to be taught on Wednesday (May 9)
will focus on creation of superior process concept alternatives
(1) Process Synthesis (Siirola, Wednesday, May 10)*
II. Modules on Optimization Modeling to be taught from Thursday through
Saturday (May 9, 11-12) will focus on modeling and algorithms with
applications to process optimization, process synthesis and molecular
(2) Nonlinear programming and process optimization (Biegler, Thursday,
(3) Mixed-integer and disjunctive programming (Grossmann, Friday, May 11)
(4) Global optimization and optimization under uncertainty (Sahinidis,
Saturday, May 12)
III. Modules on Integrated Process Operations to be taught from Monday
through Thursday (May 14-17) will focus on four major decision levels in
plant and enterprise-wide optimization:
(5) Mixed-integer models for planning and scheduling (Grossmann, Monday,
(6) Models and algorithms for supply chain optimization (Gounaris,
Tuesday, May 15)
(7) Optimization of dynamic systems, parameter estimation and data
reconciliation (Biegler, Wednesday, May 16)
(8) Advanced process dynamics and control (Ydstie, Thursday, May 17)
*: Note date change for the Siirola-Biegler lectures on May 9 and 10.
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, Bayer University Professor of Chemical Engineering
and Department Head 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 and state estimation and parameter
estimation. He is a 1985 Presidential Young Investigator, a recipient of
the 1996 ASEE McGraw Award, the 2000 AIChE Computing in Chemical
Engineering Award, the 2009 AIChE Warren Lewis Award, the 2009 INFORMS
Computing Society Prize, the 2012 Nordic Process Control Award, the
AIChE 2015 William H. Walker award, and an honorary doctorate from the
Technical University of Berlin. He is a member of the National Academy
of Engineering and Fellow of AIChE and SIAM.
Chrysanthos E. Gounaris is Assistant Professor of Chemical Engineering
at Carnegie Mellon University. After undergraduate studies in his native
Greece, he earned his Ph.D. in Chemical Engineering from Princeton
University, where he worked on issues of global optimization and its
application for the study of microporous materials. After graduation,
Chrysanthos joined McKinsey & Co. as an Associate, where he provided
consultation to petrochemical, pharmaceutical and consumer
packaged-goods companies on a variety of projects of operational and
strategic nature. He returned to Princeton to pursue post-doctoral
research before joining Carnegie Mellon in 2013. His research interests
lie in the areas of distribution and logistics, process planning and
scheduling, cutting and packing, and network systems, with a
methodological emphasis on developing robust optimization techniques to
address operational uncertainty in these contexts. In addition,
Chrysanthos is interested in applying mathematical optimization
methodologies for the design of novel materials whose microstructure
affords them superior catalytic performance.
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, the
2010 Computing in Chemical Engineering Award from AIChE, the Constantin
Carathéodory Prize in 2015, and the National Award and Gold Medal from
the Hellenic Operational Research Society in 2016. He is a Fellow of
AIChE and INFORMS.
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 a position as Professor of
Engineering Practice at Purdue University and is affiliated with
Carnegie Mellon University as a Distinguished Service Professor of
Sustainable Energy Systems. 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 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: Eight days, Wednesday through Thursday, 8:30 am to 6:00 pm. Held
in the CAPD Conference Room, Doherty Hall 4201, Carnegie Mellon
University, Pittsburgh, Pennsylvania.
Lodging: Housing arrangements may be made directly with the Wyndham
Pittsburgh University Center, which is approximately four 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 $149.00 + 14% tax per night
for a single room plus parking fee of $20 per day. Club level rate is
$179.00 per night + tax. Guests should contact the Reservations Manager,
Mara Cerro at 412-682-6259 or email [log in to unmask]
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. 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 prices for taking the modules are as follows:
Any one module: $700
Any two modules: $1,350
Any three modules: $1,950
Any four modules: $2,500
Any five modules: $3,000
Any six modules: $3,450
Any seven modules: $3,850
All eight modules: $4,200
For members of CAPD there is a 25% discount.
Any one module: $525
Any two modules: $1,013
Any three modules: $1,463
Any four modules: $1,875
Any five modules:$2,250
Any six modules: $2,588
Any seven modules: $2,888
All eight modules: $3,150
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 explained."
"Organized very nicely."
"I got a lot out of the course--Excellent job!"
John E. Swearingen Professor and Director of the CAPD