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:

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 

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 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!"