Toolkit for Enabling Adaptive Modeling and Simulation (TEAMS)

Award Information
Agency:
National Aeronautics and Space Administration
Branch
n/a
Amount:
$69,905.00
Award Year:
2002
Program:
SBIR
Phase:
Phase I
Contract:
NAS10-02040
Award Id:
56649
Agency Tracking Number:
013787
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
Minority Owned:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
Perakath Benjamin
Principal Investigator
(979) 260-5274
pbenjamin@kbsi.com
Business Contact:
Perakath Benjamin
Business Official
(979) 260-5274
pbenjamin@kbsi.com
Research Institution:
n/a
Abstract
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.

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