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Optimization Modeling and Integrated Process Operations
Center for Advanced Process Decision-making
Carnegie Mellon University
June 12 - June 18, 2008
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| Overview This course is organized in six modules along the topics of nonlinear, discrete and global optimization, and integrated process planning, scheduling and control. The course stresses the application of recently developed optimization models and methods to practical process problems.
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.
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| Six Course Modules (A - F) |
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| Optimization Modeling (Modules A - C) |
Focus on modeling and algorithms with applications to process optimization, process synthesis and molecular design
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June 12
Thursday |
Module A: Nonlinear Programming
Lorenz Biegler |
June 13
Friday |
Module B: Mixed Integer and Disjunctive Programming
Ignacio Grossmann |
June 14
Saturday |
Module C: Global Optimization and Optimization Under Uncertainty
Nick Sahinidis |
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| Integrated Process Operations (Modules D-F) |
| Focus on three major decision levels in plant and enterprise-wide optimization |
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June 16
Monday |
Module D: Mixed-integer Models for Planning and Scheduling
Ignacio Grossmann |
June 17
Tuesday |
Module E: Process Dynamics and Control
Erik Ydstie |
June 18
Tuesday |
Module F: Differential / Algebraic Models for Real Time Optimization
Lorenz Biegler |
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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
Detailed Course Topics.
Testimonials of Past Participants...
- Excellent course that covers a lot of topics and discusses most of the important issues within these topics.
- I got a lot out of the course-excellent job!
- All lecturers were excellent!
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