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Ignacio Grossmann <[log in to unmask]>
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Ignacio Grossmann <[log in to unmask]>
Tue, 9 Feb 2021 02:24:18 -0500
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*Optimization, Design, Operations CAPD Short Course, May 10-20, 2021*

The Center for Advanced Process Decision-making (CAPD) at Carnegie 
Mellon University is pleased to offer a nine-day course entitled:*

*"Optimization Modeling, Conceptual Design, and Integrated Process 
*** May 10-20, 2021 ***

This course, which will be offered remotely, is taught by Professors 
Biegler, Gounaris, Grossmann, Sahinidis, Siirola and Ydstie, and by Dr. 
Garcia. The course is organized in nine 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, and data analytics. 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, dynamics and control, including 
treatment of uncertainty and data analytics. 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)-(9):

*I. Module on Conceptual Design*to be taught on Monday (May 10) will 
focus on creation of superior process concept alternatives

(1) Process Synthesis (Siirola, Monday, May 10)

*II. Modules on Optimization Modeling*to be taught from Tuesday through 
Thursday (May 11-13) will focus on modeling and algorithms with 
applications to process optimization, process synthesis and 

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

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

(4) Global optimization and optimization under uncertainty (Sahinidis, 
Thursday, May 13)

*III. Modules on Integrated Process Operations*to be taught on Friday, 
May 14, and Monday through Thursday (May 17-20) will focus on four major 
decision levels in plant and enterprise-wide optimization:

(5) Mixed-integer models for planning and scheduling (Grossmann, Friday, 
May 14)

(6) Models and algorithms for supply chain optimization (Gounaris, 
Monday, May 17)

(7) Optimization of dynamic systems, parameter estimation and data 
reconciliation (Biegler, Tuesday, May 18)

(8) Advanced process dynamics and control (Ydstie, Wednesday, May 19)

(9) Process Analytics using Multivariate Analysis Techniques in Python 
(Garcia, Thursday, May 20)

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 and Former Head 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 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.

*Salvador Garcia Muñoz* is a senior engineering advisor for Eli Lilly 
and Company. He has actively contributed to the development and 
commercialization of new medicines. Prior to his current job, he spent 
nine years working for Pfizer Global R&D as a member of the process 
modeling and engineering technology group where he contributed to the 
scale-up and transfer of drug product manufacturing processes using 
modeling, simulation and data analytics. In his pre-pharma years, he 
worked for Aspen Technology as a business support engineer, providing 
consulting and services for the modeling and simulation and the 
real-time data management business. He obtained his BS and MS from the 
Monterrey Institute of Technology and Higher Education (ITESM Mexico) 
(chemical and computer systems engineering) and his Ph.D. from McMaster 
University (Canada). Dr. Garcia Munoz holds a Visiting Professor post at 
Imperial College London, and an Adjunct Professor post at Carnegie 
Mellon University, both in the Chemical Engineering Departments.

*Chrysanthos E. Gounaris* is Associate 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. Chrysanthos is also 
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, Former Head of 
Chemical Engineering and Director of the CAPD 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, energy systems, enterprise-wide 
optimization, planning and scheduling, and stochastic programmig. 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, the 2009 AIChE 
Warren Lewis Award, and the 2019 Founders Award of AIChE. He is a member 
of the National Academy of Engineering, Fellow of AIChE and INFORMS, and 
holdshonorary doctorates from Abo Academy in Finland, Univ. Maribor in 
Slovenia, Technical University of Dortmund, Kazan National Research 
Technological University in Russia, Universidad de Cantabria in Spain, 
Universidad Nacional del Litoral in Argentina, and Universidad de 
Alicante in Spain.

*Nick Sahinidis* is the Gary C. Butler Family Chair and Professor in the 
H. Milton Stewart School of Industrial and Systems Engineering and the 
School of Chemical and Biomolecular Engineering at Georgia Tech. His 
current research activities are at the interface between computer 
science and operations research, with applications in various 
engineering and scientific areas, including: theory, algorithms and 
software for global optimization of mixed-integer nonlinear programs; 
informatics problems in chemistry and biology; process and energy 
systems engineering. Sahinidis has served on the editorial boards of 
many leading journals and in various positions within AIChE (American 
Institute of Chemical Engineers). He has also served on numerous 
positions within INFORMS (Institute for Operations Research and the 
Management Sciences), including Chair of the INFORMS Optimization 
Society. He received an NSF CAREER award, the INFORMS Computing Society 
Prize, the Beale-Orchard-Hays Prize from the Mathematical Optimization 
Society, the Computing in Chemical  Engineering Award, the Constantin 
Carathéodory Prize, and the National Award and Gold Medal from the 
Hellenic Operational Research Society. Sahinidis is a fellow of 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 a position as Professor of 
Engineering Practice at Purdue 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.

<>*B. Erik 
Ydstie* holds BS and MS degrees in Chemistry from NTNU (1977) and a PhD 
in Chemical Engineering from Imperial College (1982).  From 1982 till 
1992 he taught in the Department of Chemical Engineering at the 
University of Massachusetts. From 1992 till 2020 he was a professor in 
Chemical Engineering at Carnegie Mellon. He also held a courtesy 
appointment in the Department of Electrical and Computer Engineering. 
 From 1999 to 2000 he was Director of R&D with ELKEM ASA where he 
restructured the R&D organization and initiated R&D programs aimed 
towards developing new processes for making aluminum and high purity 
silicon for solar cells. He was Professor II of Material Science and 
Electrical Engineering at NTNU from 2001 till 2015.  In 2005 he founded 
iLS Inc., to commercialize nonlinear control systems using machine 
learning technology. He has served on the advisory boards of the 
American Chemical Society, Petroleum Research Fund and the Worcester 
Polytechnic Institute. He has held visiting positions at Imperial 
College, Ecoles des Mines, Paris, UNSW in Australia, and UCL at Louvain 
la Neuve in Belgium. His current areas of research are process control 
and machine learning, irreversible thermodynamics, process modeling, 
crystallization, global aerosol modeling, and solar cells. In 2020 he 
retired from CMU where he holds an Emeritus position to focus completely 
on his new spin-off company Integrated Silicon Technologies to 
commercialize a process for making Silicon Wafers for Solar Cells.

*Administrative Details:*

*Time:* Nine days, 8:30 am to 5:30 pm each day. Offered exclusively 
through Zoom. We will record the class and release videos of lectures 
approximately every two hours to support students across different time 
zones. This arrangement will allow all students to participate through a 
combination of real-time lectures and offline viewing.

*Fees:* The fees include all instructional materials, a set of notes, 
and computer use. A 25% discount is available to industrial affiliates 
of the CAPD Consortium. Groups of up to 10 may register at the cost of 3 
registrations. Please make checks payable to Carnegie Mellon University, 
Department of Chemical Engineering.  Wire transfer payments are also 

*Registration: *Register by completing and returning the form at 

If you need specific information please contact Laura Shaheen at 
[log in to unmask] <mailto:[log in to unmask]>, Tel: 412-268-6344. As 
the course format limits class size, please notify us 10 days before the 
start of a session should you wish to transfer to another session 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
Any eight modules: $4,200
All nine modules: $4,500

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
Any eight modules: $3,150
All nine modules: $3,375

*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!"

Best regards,

Ignacio E. Grossmann, R.R. Dean University Professor
Center for Advanced Process Decision-making (CAPD)
Department of Chemical Engineering  Tel: 412-268-3642
Carnegie Mellon University          Fax: 412-268-7139
Pittsburgh, PA 15213
email: [log in to unmask]