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Global Visibility Command and Control Logistics Technology for BMDS System

Award Information
Agency: Department of Defense
Branch: Missile Defense Agency
Contract: HQ0006-06-C-7428
Agency Tracking Number: 053-0273
Amount: $99,999.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: MDA05-059
Solicitation Number: 2005.3
Solicitation Year: 2005
Award Year: 2006
Award Start Date (Proposal Award Date): 2006-04-12
Award End Date (Contract End Date): 2006-10-31
Small Business Information
4295 Okemos Road, Suite 100
Okemos, MI 48864
United States
DUNS: 874483704
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 Gail Erten
 (517) 349-9000
Business Contact
 Gail Erten
Title: President
Phone: (517) 349-9000
Research Institution

Ballistic Missile Defense System (BMDS) maintenance costs are high, making up as much as 60-70% of the total system life-cycle cost. Moreover, inefficient maintenance policies and procedures can have adverse national security ramifications. We propose a Global visibility and Central Command approach to meet the maintenance and inventory management challenges. The proposed system consists of three components, which are (i) a fuzzy logic based parts subassemblies and assemblies inventory and maintenance management engine, (ii) a web-based collaborative central maintenance command application, and (iii) an RFID data collection and maintenance tracking infrastructure. The combination of these three elements addresses sustainment in the four areas of supportability, deployability, affordability, and suitability while maintaining a manageable footprint. Phase I work will first select a BMDS subsystem or equivalent to conduct the feasibility study on. Then, a fuzzy logic based engine will be designed and simulated under multiple failure and logistic scenarios. The mean time between critical failures (MTBCF) will be evaluated for multiple approaches. The result will be a quantitave measurement of how well the proposed fuzzy inference approach performs. Also during Phase I, RFID software and hardware elements will be investigated. Lastly, means of feeding most recent data to improve the fuzzy logic engine will be explored for better performance overall. Phase I work will conclude with a final report and Phase II recommendations.

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

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