P66: Multidisciplinär designoptimering i produktutveckling #05

Kursen ges på engelska.

Intended learning outcomes

After completion of the course the course participant should be familiar with:

• relevant engineering optimization concepts,
• gradient-based and derivative free algorithms,
• appropriate surrogate optimization frameworks,
• MDO problem formulations, architectures, and coordination methods.

Course content

The course address the following topics:

• Engineering optimization: review of relevant theory and algorithms
• Rigorous approaches for surrogate-assisted simulation-based design optimization
• Multidisciplinary design optimization formulations and architectures
• Hierarchical and non-hierarchical coordination

Organization

The course is given 28th  – 30th of August at Chalmers Johanneberg (Göteborg), with lectures 8.30-12.30. Michael Kokkolaras will send out the course syllabus in the middle of week 34.

Teacher

The course is led by Dr. Michael Kokkolaras, Professor of Mechanical Engineering at McGill University, Associate Director of the McGill Institute for Aerospace Engineering (MIAE), and Full Member of the FRQNT-funded multi-university Group for Research in Decision Analysis. He joined McGill in 2012 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 UM 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 and computational engineering design of systems-of-systems, product-service systems, and platform-based product families with application to transportation, energy and healthcare engineering. He has co-authored 62 articles in refereed journals, 64 papers in conference proceedings, and 5 book chapters, and has given more than 40 invited talks at academic, industry and government seminars and workshops.

He served as Associate Editor of the ASME Journal of Mechanical Design from 2008 to 2014 and the Optimization and Engineering journal (Springer) from 2013 to 2018. He is currently Associate Editor of the Structural and Multidisciplinary Optimization journal (Springer). He is an ASME Fellow and has served as Chair of its Design Automation Executive Committee (Design Engineering Division). He is also Associate Fellow of the AIAA, serving on its Multidisciplinary Design Optimization Technical Committee since 2006.

Course fee

The course is free of charge for members of Produktion2030 graduate school. Cost for other participants is 2 000 SEK ex. vat.

Fee for late drop-out

This course is included in the Produktion2030 program, and it is therefore free of charge for PhD student members of Graduate School Produktion2030. However, in case of drop-out later than 3 weeks before course start, a fee of 1 000 SEK per course credit will be charged the student’s home institution.