Dear Colleagues,


Since most of us are unable to travel these days, the CAPD has decided to offer its annual short course via Zoom this year. Moreover, we are excited to extend our short course by a day in order to introduce a new module on data analytics taught by Dr. Sal Garcia Muñoz. If you are sitting at home and looking for an interesting and safe learning experience in early May, this message is for you.


The nine-day course is entitled:


Optimization Modeling, Conceptual Design, and Integrated Process Operations

** May 4-13, 2020 **


This course is taught by Drs. Biegler, Garcia Muñoz, Gounaris, Grossmann, Sahinidis, Siirola and Ydstie, and is organized in nine modules that can be taken altogether or in subsets. The topics include nonlinear, discrete and global optimization, conceptual design, integrated process planning, scheduling, 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 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, and statistical analysis techniques.


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.


Nine course Modules (1)-(9):


I. Module on Conceptual Design to be taught on Monday (May 4) will focus on creation of superior process concept alternatives


(1) Process Synthesis (Siirola, Monday, May 4)


II. Modules on Optimization Modeling to be taught from Tuesday through Thursday (May 5-7) will focus on modeling and algorithms with applications to process optimization, process synthesis and molecular



(2) Nonlinear programming and process optimization (Biegler, Tuesday, May 5)


(3) Mixed-integer and disjunctive programming (Grossmann, Wednesday, May 6)


(4) Global optimization and optimization under uncertainty (Sahinidis, Thursday, May 7)


III. Modules on Integrated Process Operations to be taught on Friday, Saturday, Monday, Tuesday and Wednesday (May 8-9, 11-13) will focus on all major decision levels in plant and enterprise-wide optimization:


(5) Mixed-integer models for planning and scheduling (Grossmann, Friday, May 8)


(6) Models and algorithms for supply chain optimization (Gounaris, Saturday, May 9)


(7) Optimization of dynamic systems, parameter estimation and data reconciliation (Biegler, Monday, May 11)


(8) Advanced process dynamics and control (Ydstie, Tuesday, May 12)


(9) Process Analytics using Multivariate Analysis Techniques in Python (Garcia Muñoz, 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, 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 actively contributes to the development and commercialization of new medicines influencing internal and external key players to incorporate elements from chemical engineering and mathematics into the necessary regulatory frameworks that govern the manufacture of pharmaceuticals. Prior to his current position, 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.


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. In addition, Chrysanthos is 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 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 and Director of the CAPD 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 is a Fellow of AIChE and INFORMS.


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.


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: 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


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!"



Nick Sahinidis

John E. Swearingen Professor and Director of the CAPD