NASA STTR 2021-II Solicitation

Proposal Summary

Proposal Information

Proposal Number:
21-2- T11.05-1297
Phase 1 Contract #:
80NSSC21C0357
Subtopic Title:
Model-Based Enterprise
Proposal Title:
Model-based Enterprise Architecture for Institutional Management Digital Twins
SMALL BUSINESS CONCERN (SBC):
Global Technology Connection, Inc.
2839 Paces Ferry Road, Suite 1160
Atlanta GA  30339 - 5770
Phone: (770) 803-3001
RESEARCH INSTITUTION (RI):
Georgia Institute of Technology-Main Campus
926 Dalney Street
GA  30332 - 0420
Phone: (404) 894-8055

Principal Investigator (Name, E-mail, Mail Address, City/State/Zip, Phone)

Name:
Dr. Olivia Pinon Fischer
E-mail:
olivia.pinon@asdl.gatech.edu
Address:
926 Dalney Street Atlanta, GA 30332 - 0420
Phone:
(404) 894-8055

Business Official (Name, E-mail, Mail Address, City/State/Zip, Phone)

Name:
Dr. Ash Thakker
E-mail:
admin@globaltechinc.com
Address:
2839 Paces Ferry Road, Suite 1160 Atlanta, GA 30339 - 5770
Phone:
(770) 803-3001
Estimated Technology Readiness Level (TRL) :
Begin: 4
End: 7
Technical Abstract (Limit 2000 characters, approximately 200 words)

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.

Potential NASA Applications (Limit 1500 characters, approximately 150 words)

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.

Potential Non-NASA Applications (Limit 1500 characters, approximately 150 words)

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.

Duration: 24

Form Generated on 09/07/2022 16:37:14