Description: NASA manages $40B in facility assets with an inventory of more than 5,000 facilities. Over 83% of this infrastructure is beyond its design life, and the agency faces a deferred maintenance backlog of $2.77B. An effective method to address this challenge and achieve digital transformation is through Enterprise Architecture (EA) and the use of Model-Based Systems Engineering (MBSE) methods. During Phase I, guided by stakeholders from NASA Goddard Space Flight Center (GSFC) and headquarters, Global Technology Connection and Georgia Tech’s Aerospace Systems Design Laboratory successfully demonstrated the feasibility and value of using the Unified Architecture Framework (UAF) to create a model of NASA enterprise. This interlinks NASA’s missions, projects, facilities, capabilities, timelines and more using their connected attributes. Doing so enabled rapid, accurate, and more data-driven decision-making to guide and prioritize investments around NASA's aging infrastructure. We identified pertinent use cases and demonstrated how our approach can lead to informed decisions for Institutional Construction of Facilities (I-CoF) projects. The objective of Phase II is to mature and implement the model-based enterprise architecture for institutional management digital twins (EA-MBSE) at GSFC leveraging UAF to enable decision-making with increased insight and velocity for I-CoF projects. Specifically, we will address three use cases which we have identified as the most pressing and the most beneficial for NASA stakeholders. Facilities prioritization for master planning of greenbelt facilities Institutional CoF budget re-allocation and justification Multi-facility energy conservation measure (ECM) projects prioritization For easy extraction and dissemination of these insights, we will generate user specific views with streamlined interactivity. A technology plan addressing technical & operational challenges will also be developed.

Benefits: As NASA moves from center-based to agency-level decision making, it is crucial to have an easily and a scalable solution for viewing connected information across domains. Our solution provides NASA with a tool to Conduct institutional CoF budget re-allocation and justification Perform facilities prioritization analysis for master planners Analyze and prioritize multi-facility energy conservation measure (ECM) projects Our solution enables these tasks to be accomplished cost effectively and without human induced errors.

Our solution is also applicable to large government agencies such as DoE, NIH, and DoD agencies to large universities. It provides objective and crucial information rapidly and effectively with reusable views for decision-makers. This enable fully informed investment prioritization decisions cost effectively especially in rapidly changing budget environments and scenarios.