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Improving Multidisciplinary Optimizaton Methods in AEC

Improving Multidisciplinary Optimizaton Methods in AEC. Overview. Industry Drivers / Limitations Applying MDO Methods to AEC Research Plan / Team Value Proposition. INDUSTRY DRIVERS / LIMITATIONS. Industry Drivers. We Have the Technology. Virtual Design and Construction (VDC) tools:

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Improving Multidisciplinary Optimizaton Methods in AEC

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  1. Improving Multidisciplinary Optimizaton Methods in AEC

  2. Overview Industry Drivers / Limitations Applying MDO Methods to AEC Research Plan / Team Value Proposition
  3. INDUSTRY DRIVERS / LIMITATIONS
  4. Industry Drivers
  5. We Have the Technology Virtual Design and Construction (VDC) tools: used earlier in the design process increasing number of disciplines supported
  6. How is Current Practice Doing? Design iteration metrics New design methods and computational frameworks are required to fully benefit from progress in IT Survey results [1]:
  7. Boeing’s Rapid Conceptual Design (RCD) Process [1] APPLYING MDO METHODS To AEC
  8. Related Research
  9. Research Goals Develop and apply MDO methods that meet the particular needs of the AEC industry to: Compress design cycle time Explore more alternatives Achieve substantive product quality and performance gains Reduce time to market
  10. Research Goals Develop and apply MDO methods that meet the particular needs of the AEC industry to: Understand coupling between analyses Function with AEC organizations Visualize tradeoffs Improve interoperability
  11. RESEARCH PLAN / TEAM
  12. Research Scope Design problems addressed: Disciplines Involved:
  13. Research Scope
  14. Research Scope
  15. Research Scope
  16. Research Scope
  17. Research Phases Proof of Concept – Classroom MDO Scaling MDO for Industry Application Develop General MDA Tools Industry Application of New MDO Methods
  18. Proof of Concept – Classroom MDO (Phase 1) supported by 2008 proposal = 18
  19. Research Schedule(Phase 1) Industry Application = = R+D
  20. Results(Phase 1) Automation Integration Trades
  21. Scaling MDO for Industry Application (Phase 2) supported by 2008 proposal =
  22. Research Schedule(Phase 2) Industry Application = = R+D
  23. Results(Phase 2) $10 Million (Est. Savings)
  24. Develop General MDA Tools(Phase 3) to be supported by this proposal =
  25. Research Schedule(Phase 3) Industry Application = = R+D
  26. Expected Results(Phase 3)
  27. Industry Application of MDO (Phase 4) to be supported by this proposal =
  28. Research Schedule(Phase 4) Industry Application = = R+D
  29. Expected Results(Phase 4) Develop and apply MDO methods that meet the particular needs of the AEC industry to: Compress design cycle time Explore more alternatives Achieve substantive product quality and performance gains Reduce time to market
  30. Research Team
  31. VALUE PROPOSITION
  32. How Your Investment Has Been Leveraged Proposal Budget Project Budget
  33. Impact of Research on CIFE 2015 Goals $10 Million
  34. Research Deliverables to CIFE Members Publications Participate in case study projects Training sessions Process assessment Access to software
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