Quick Links

Simulation-Based Optimal System Design

In today's highly competitive market environments, engineering systems must be optimized if they are to succeed in accomplishing objectives while satisfying constraints. In addition, development lead times must be reduced to ensure timely reaction to changing market needs. Thus, a good understanding of the computational tools used for simulation-based optimal system design is critical for supporting the engineering decision-making process.

Date: TBA
Duration: 4 classes
Time: 6:00 pm - 9:00 pm
Location: 688 Sherbrooke Street West
Fee: $895 CAD plus applicable taxes


Description

Drawing on current research and best-practice methodologies illustrated by case studies, this workshop provides a comprehensive and rigorous introduction to simulation‐based numerical design optimization of engineering systems and to decomposition‐based optimal system design principles.


Who Should Attend

Design engineers; systems engineers; mechanical, aerospace and electrical engineers; R&D engineers; practitioners; product development engineers; team leaders, and program managers.


Objectives

 At the end of this workshop the participants should be able to:

  • Understand and utilize fundamental terminology and principles;
  • Formulate well-defined design optimization problems;
  • Design experiments and build data-based surrogate models for efficient optimization;
  • Select appropriate numerical algorithms (both gradient-based and derivative-free) for solving a variety of classes of problems;
  • Address challenges related to modeling and simulation, multi-objective problems, multi-disciplinary analysis and uncertainty quantification;
  • Use optimization for requirements flow-down and design of platform-based product families.

Topics Covered

  • Engineering systems
  • Simulation-based design
  • Design of experiments
  • Surrogate modeling
  • Numerical optimization
  • Multi-objective optimization
  • Multi-disciplinary design optimization
  • Decomposition and coordination methods
  • Design under uncertainty
  • Product development
  • Analytical Target Cascading
  • Commonality and design of product families

Facilitator

Dr. Michael Kokkolaras is Associate Professor of Mechanical Engineering at McGill University. He joined McGill after spending 12 years at the University of Michigan in Ann Arbor, where he held research faculty appointments in the Department of Mechanical Engineering and the Transportation Research Institute. He has a Diploma in Aerospace Engineering from the Technical University of Munich and a Ph.D. in Mechanical Engineering from Rice University. His research interests include multidisciplinary optimization, simulation-based engineering design, uncertainty quantification, decomposition and coordination methods, modeling and validation, systems of systems, product families and optimization applications in engineering. He has co-authored 38 articles in archival journals, 48 papers in conference proceedings, and 4 book chapters. He is a member of ASME (active within the Design Automation Committee) and serves as Associate Editor of the ASME Journal of Mechanical Design. He is also a senior member of the AIAA (serving on the Multidisciplinary Design Optimization Technical Committee).                     


Cancellation Policy

Workshops/Seminars
All cancellation & substitution requests must be made in writing to pd [dot] conted [at] mcgill [dot] ca.
Receive a full refund if your cancellation request is received up to 14 days prior to the start date of the workshop.
Receive a refund minus $100 cancellation fee if your cancellation request is received up to 7 days prior to the start date of the workshop.
No Refunds are issued if your cancellation request is received within 7 days of the start date of the workshop, however suitable participation substitution will be permitted.
Please note that if no notice is given prior to the start of the event(s) and you fail to attend, you will be liable for the full course fee.
McGill SCS reserves the right to cancel an event up to 5 days prior to its start.

Contact Information

Telephone: 514-398-5454
E-mail: pd [dot] conted [at] mcgill [dot] ca