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DTSTART;TZID=America/Denver:20230119T110000
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DTSTAMP:20260424T160009
CREATED:20221221T233057Z
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SUMMARY:A Surrogate Model Approach for Studying Performance and Cycle Time in Complex System Development
DESCRIPTION:This webinar presents a surrogate model approach to advance fundamental research on understanding impacts of\nengineering decision-making on complex system performance and system development cycle times. The approach is\nmotivated by digital transformation and advancement of the digital engineering strategy by the U.S. Department of\nDefense as part of acquisition modernization. The digital engineering strategy focuses on five goals as a means to\nreduce acquisition cycle times and increase capability deployment to the warfighter\, but we lack the theory to\nunderstand the impact of the digital transformation on engineering processes\, decision- making and the solution\nperformance. The surrogate model approach discussed herein could provide a methodology for studying the impact of\ndigital engineering on solution performance and lifecycle development time on a wide class of design problems with\ntunable complexity. \nPresented by Blue Origin’s Stephanie Chiesi – Principal Aerospace Systems Engineer
URL:https://321gang.com/event/performance-and-cycle-time-in-complex-system-development/
LOCATION:Virtual
CATEGORIES:IBM
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