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January 2013


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Ignacio Grossmann <[log in to unmask]>
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Ignacio Grossmann <[log in to unmask]>
Sun, 20 Jan 2013 23:05:07 -0500
text/plain (196 lines)
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, 
May 13)
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:

The Faculty:

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.

Administrative Details:

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 
well explained."

"Organized very nicely"

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