Toolkit for Enabling Adaptive Modeling and Simulation (TEAMS)

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: NAS10-02040
Agency Tracking Number: 013787
Amount: $599,513.00
Phase: Phase II
Program: SBIR
Awards Year: 2002
Solicitation Year: N/A
Solicitation Topic Code: N/A
Solicitation Number: N/A
Small Business Information
1408 University Drive East, College Station, TX, 77840
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Perakath Benjamin
 Principal Investigator
 (979) 260-5274
Business Contact
 Perakath Benjamin
Title: Business Official
Phone: (979) 260-5274
Research Institution
We propose to design, build, and deploy a Toolkit for Enabling Adaptive Modeling and Simulation (TEAMS). The proposed solution uses a process-centered approach to automatically reconfigure and optimize space transportation system operations analysis models. Because it operates over the Internet, the TEAMS solution will be platform independent and enable collaborative space transportation system operations modeling and analysis over geographically dispersed locations. The technical viability of the approach was established in Phase I by designing and prototyping an adaptive analysis tool that facilitates collaborative design of future NASA spaceport operations processes. The Phase II effort will implement the innovation on two focused NASA operations analysis applications and rapidly commercialize the research results. Central Phase II products include (i) TEAMS software applications, (ii) re-configurable spaceport operations modeling framework, and (iii) scalable operations analysis knowledge repository. Key innovations include (i) a process-centered approach that maximizes re-use of domain knowledge for rapid operations analysis model development, (ii) open-architecture, distributed, plug and play architecture that allows for mass customization and rapid deployment of TEAMS tools in multiple application problems, and (iii) novel, simulation-based optimization mechanisms that facilitate risk minimization through exploration of a large number of spaceport design configurations at reduced cost.

* Information listed above is at the time of submission. *

Agency Micro-sites

SBA logo
Department of Agriculture logo
Department of Commerce logo
Department of Defense logo
Department of Education logo
Department of Energy logo
Department of Health and Human Services logo
Department of Homeland Security logo
Department of Transportation logo
Environmental Protection Agency logo
National Aeronautics and Space Administration logo
National Science Foundation logo
US Flag An Official Website of the United States Government