Uncertainty modeling to enable software development platforms that can automate complex mechanical systems design

Kevin Otto, Christoffer Levandowski, Anders Forslund, Hans Johannesson, Rikard Söderberg

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

1 Citation (Scopus)


Development platforms are automated software tools used to synthesize new designs. They are prevalent in the embedded system design domain, with applications ranging from integrated circuits, circuit boards, electro-mechanical controls, and entire networked systems. Historically, this has enabled rapid and error-free design of very complex embedded software and electronics hardware, even those that control mechanical systems such as aerospace and automotive controls through automation of the design process. The state of mechanical design automation has far less commercial adoption or industrial demonstration of development platforms in mechanical design. This paper elaborates on what challenges mechanical design automation faces to reach the level of design automation in the embeded systems domain. Given a design library approach, it is concluded that uncertainty management is a key issue for future research, including model uncertainty for mechanical design modeling. These issues are then contextualized using a case from the aerospace industy.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Engineering Design, ICED
EditorsU Lindemann, Srinivasan, YS Kim, SW Lee, P Papalambros, W Chen
Number of pages10
Volume9 DS75-09
Publication statusPublished - 2013
MoE publication typeA4 Article in a conference publication
EventInternational Conference on Engineering Design - Seoul, Korea, Republic of
Duration: 19 Aug 201322 Aug 2013
Conference number: 19

Publication series

NameInternational Conference on Engineering Design
ISSN (Print)2220-4334


ConferenceInternational Conference on Engineering Design
Abbreviated titleICED
CountryKorea, Republic of


  • Computational design synthesis
  • Design automation
  • Product modelling
  • Simulation
  • Uncertainty management

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