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 Operations" http://capd.cheme.cmu.edu/shortcourse/index.html
** 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 molecular design:

(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.   https://www.cheme.engineering.cmu.edu/directory/bios/biegler-lorenz.html

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.  https://www.cheme.engineering.cmu.edu/directory/bios/mu%C3%B1oz-salvador.html

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. https://www.cheme.engineering.cmu.edu/directory/bios/gounaris-chrysanthos.html

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.  https://www.cheme.engineering.cmu.edu/directory/bios/grossmann-ignacio.html

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 and INFORMS.https://sahinidis.coe.gatech.edu/

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. https://www.cheme.engineering.cmu.edu/directory/bios/siirola-jeffrey.html

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. https://www.cheme.engineering.cmu.edu/directory/bios/ydstie-b-erik.html

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 acceptable.

Registration: Register by completing and returning the form at http://capd.cheme.cmu.edu/shortcourse/register.htm.

If you need specific information please contact Laura Shaheen at [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]  http://egon.cheme.cmu.edu