| Overview This course is taught online by Professors Biegler, Garcia-Muñoz, Gounaris, Grossmann, Laird, Sahinidis, Siirola, and Torres. The course is organized into ten modules that can be taken altogether or in subsets.
The topics include conceptual design, nonlinear, discrete and global optimization, 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.
In previous years, Carnegie Mellon University offered this course exclusively on-campus. Now, we are offering this class both in person and on 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 lecture and offline viewing.
Conceptual Design (Modules A-B)
Synthesis of process systems, sustainability, and decarbonization |
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May 15
Monday |
Module A: Process Synthesis
Jeffrey Siirola |
May 16
Tuesday |
Module B: Energy Systems Modeling - Decarbonization
Ana I. Torres |
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Optimization Modeling (Modules B-E)
Modeling and algorithms for process optimization, synthesis, and molecular design
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May 17
Wednesday |
Module C: Nonlinear Programming
Larry Biegler |
May 18
Thursday |
Module D: Mixed-integer and Disjunctive Programming
Ignacio Grossmann |
May 19
Friday
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Module E: Global Optimization and Optimization under Uncertainty
Nikolaos Sahinidis |
May 22
Monday
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Module F: Modeling Extensions and Solution of Large-Scale Problems in Pyomo
Carl Laird |
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Integrated Process Operations (Modules F-I)
Focus on four major decision levels in plant and enterprise-wide optimization |
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May 23
Tuesday
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Module G: Mixed-integer Models for Planning and Scheduling
Ignacio Grossmann |
May 24
Wednesday |
Module H: Models and Algorithms for Supply Chain Optimization
Chrysanthos Gounaris |
May 25
Thursday |
Module I: DAE Models for Real Time Optimization
Larry Biegler |
May 26
Friday |
Module J: Process Analytics using Multivariate Analysis Techniques in Python
Salvador Garcia Muñoz |
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The price for taking the modules is as follows:
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Fee |
25% Discount
CAPD Sponsors |
| Any 1 module |
$700 |
$525 |
| Any 2 modules |
$1350 |
$1013 |
| Any 3 modules |
$1950 |
$1463 |
| Any 4 modules |
$2500 |
$1875 |
| Any 5 modules |
$3000 |
$2250 |
| Any 6 modules |
$3450 |
$2588 |
| Any 7 modules |
$3850 |
$2888 |
| Any 8 modules |
$4200 |
$3150 |
| Any 9 modules |
$4500 |
$3375 |
| All 10 modules |
$4750 |
$3563 |
Academic discount: 50%
Group discount (in addition to any other discount): Register 10 or more attendees from one institution and receive a 50% discount
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.
Testimonials of Past Participants
For more information, please contact
Carl Laird - claird@andrew.cmu.edu
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