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Sahinidis <[log in to unmask]>
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Sahinidis <[log in to unmask]>
Mon, 30 Jan 2017 13:06:45 -0500
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Optimization, Design, Operations CAPD Short Course, May 10-17, 2017

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 10-17, 2017 **

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 (1)-(7):

I. Module on Conceptual Design to be taught on Wednesday (May 10)
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
Monday(May 11-12, 15) will focus on modeling and algorithms with
applications to process optimization, process synthesis and molecular

(2) Nonlinear programming and process optimization (Biegler, Thursday,
May 11)

(3) Mixed-integer and disjunctive programming (Grossmann, Friday, May 12)

(4) Global optimization and optimization under uncertainty (Sahinidis,
Monday, May 15)

III. Modules on Integrated Process Operations to be taught from Saturday
through Wednesday (May 13, 16-11) will focus on three major decision
levels in plant and enterprise-wide optimization:

(5) Mixed-integer models for planning and scheduling (Grossmann,
Saturday, May 13)

(6) Advanced process dynamics and control (Ydstie, Tuesday, May 16)

(7) Optimization of dynamic systems, parameter estimation and data
reconciliation (Biegler, Wednesday, May 17)

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:

The Faculty:

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.

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 has been an
INFORMS Fellow since 2014.

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 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 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.

Administrative Details:

Time: Seven days, Wednesday through Wednesday, 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, Samantha Tartaglione, 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: $650
Any two modules: $1150
Any three modules: $1,600
Any four modules: $2,000
Any five modules: $2400
Any six modules: $2,800
All seven modules: $3,200

For members of CAPD there is a 25% discount.
Any one module: $487
Any two modules: $862
Any three modules: $1200
Any four modules: $1,500
Any five modules:$1,800
Any 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 explained."

"Organized very nicely."

"I got a lot out of the course--Excellent job!"

Nick Sahinidis
John E. Swearingen Professor and Director of the CAPD