The Department of Defense (DoD) and Engineered Resilient Systems (ERS) community seek to improve decision making in the Analysis of Alternatives (AoA) process by incorporating resilience and leveraging the capabilities of model-based engineering (MBE) early in the design process. Traditional tradespace exploration utilizing Point-Based Design (PBD) often converges quickly on a solution with subsequent engineering changes to modify the design. However, this process can lead to a suboptimal solution if an incorrect initial solution is chosen. Enabled by MBE, Set-Based Design (SBD) considers sets of all possible solutions and enables down-selecting possibilities to converge on a final solution. Using a US Army Armament Research, Development, and Engineering Center case study and an open source Excel® add-in called SIPmath, this research develops an integrated MBE case study demonstration that simultaneously generates numerous designs using physics models into the value and cost tradespace allowing for tradespace exploration and SBD. In addition, this research explores incorporating resilience quantification and uncertainty into SBD.
|Advisor:||Parnell, Gregory S.|
|Commitee:||Cilli, Matthew V., Goerger, Simon R., Pohl., Edward A.|
|School:||University of Arkansas|
|School Location:||United States -- Arkansas|
|Source:||MAI 57/05M(E), Masters Abstracts International|
|Keywords:||Decision analysis, Resilience, Set-based design, Systems engineering|
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