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

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).