General MAO Challenges Problem Formulation MDO formulation-"natural" objective, multi-objective, preference modeling, etc Consistent parametric representation Consistent information shared by all disciplines non-geometric data (BOM, configuration, material properties, .. analysis resuits history, gradients, approximations Discipline analysis to support tradeoffs Analysis tightly coupled to representation Key disciplines are support Balance analysis detail against design knowledge Support design and analysis strategies through quality, commercial software Design approaches OE, optimization, decision support, Pareto frontiers, GM RD Challenges to Widespread MAO Application Educational challenges Educating corporations on optimization, then MAO Educating the next generation of users and teachers Corporate cultural challenges Organizing work for MAO Software challenges to use. better GUl apable to handle distributed computation with broad range of es, database interaction, interactive data visualization, repo21 4/14/04 Fenyes General MAO Challenges • Problem Formulation – Determine key drivers and responses – MDO formulation – “natural” objective, multi-objective, preference modeling, etc. • Consistent parametric representation – Consistent information shared by all disciplines • geometric data • non-geometric data (BOM, configuration, material properties, …) • analysis results history, gradients, approximations • Discipline analysis to support tradeoffs – Analysis tightly coupled to representation – Key disciplines are supported – Balance analysis detail against design knowledge • Support design and analysis strategies through quality, commercial software – Approximation strategies – Design approaches • DOE, optimization, decision support, Pareto frontiers, 4/14/04 Fenyes Challenges to Widespread MAO Application • Educational challenges – Educating corporations on optimization, then MAO – Educating the next generation of users and teachers • Corporate cultural challenges – Organizing work for MAO • Software challenges – Simpler to use, better GUI – More capable to handle distributed computation with broad range of analyses, database interaction, interactive data visualization, report generation, …