Grid-Based Real-Time Enterprise Intelligence System for Logistics Data Mining and Integration

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$717,222.00
Award Year:
2012
Program:
SBIR
Phase:
Phase II
Contract:
W56HZV-12-C-0013
Award Id:
n/a
Agency Tracking Number:
A2-4773
Solicitation Year:
2009
Solicitation Topic Code:
A09-172
Solicitation Number:
2009.3
Small Business Information
Photonic Systems Division, 1845 W. 205th Street, Torrance, CA, -
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
Y
Duns:
153865951
Principal Investigator:
WenjianWang
Director, Sensor Computin
(310) 320-3088
ITProposals@poc.com
Business Contact:
GordonDrew
Chief Financial Officer
(310) 320-3088
gedrew@poc.com
Research Institute:
n/a
Abstract
To address the U.S. Armys need for an enterprise data mining expert system with real-time decision support to fleet managers, operators, and commanders, Physical Optics Corporation (POC) successfully designed, developed, tested, and demonstrated in Phase I a novel Grid-based Real-time Enterprise Intelligence Support (GREIS) system with a real-time, transparent decision support process for fault isolation and diagnosis, health evaluation, and mission readiness evaluation using real and simulated data. In Phase II, POC will develop, test, and demonstrate fully functional GREIS prototype software by expanding the Phase I system design and providing advanced data-driven fault diagnosis/prognosis capabilities (repair prioritization, conversion of diagnosis into part requests, and asset tracking) and advanced fleet management capabilities (vehicle mission readiness assessment and selection of best fit vehicles for the intended mission). Improvements to the Logistics Management Systems will be demonstrated using both simulated data and real data. The demonstration will also include vehicles on a given platform to assist the Army in evaluating their usage and collect enough datasets to provide significant fault signatures for maintenance task optimization. At the end of Phase II, GREIS will be ready to be transitioned to PEO CS & CSS to integrate with programs such as the Logistics Modernization Program (LMP).

* information listed above is at the time of submission.

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