Tag Archives: Genetic Algorithms

Improving Program Success Through Systems Engineering Tools in Pre-Milestone B Acquisition Phase


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Author: Daniel Deitz, Timothy J. Eveleigh, Thomas H. Holzer, and Shahryar Sarkani

Today, programs are required to do more with less. With 70 percent of a system’s life-cycle cost set at pre-Milestone B, the most significant cost savings potential is prior to Milestone B. Pre-Milestone B efforts are usually reduced to meet tight program schedules. This article proposes a new Systems Engineering Concept Tool and Method (SECTM) that uses genetic algorithms to quickly identify optimal solutions. Both are applied to unmanned undersea vehicle design to show process feasibility. The method increases the number of alternatives assessed, considers technology maturity risk, and incorporates systems engineering cost into the Analysis of Alternatives process. While not validated, the SECTM would enhance the likelihood of success for sufficiently resourced programs.

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