Proactive Methodology for Identifying Problem Aerospace Parts

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$149,616.00
Award Year:
2012
Program:
SBIR
Phase:
Phase I
Contract:
FA8117-12-C-0005
Agency Tracking Number:
F112-208-0889
Solicitation Year:
2011
Solicitation Topic Code:
AF112-208
Solicitation Number:
2011.2
Small Business Information
VG Enterprises Inc.
2417 Red Elm CT, Edmond, OK, -
Hubzone Owned:
N
Socially and Economically Disadvantaged:
Y
Woman Owned:
Y
Duns:
014155393
Principal Investigator:
Vivet George
President
(405) 821-1051
vbgeorge2011@gmail.com
Business Contact:
K. George
Chief Technoly Officer
(405) 921-1051
km.george@att.net
Research Institution:
Stub




Abstract
ABSTRACT: This proposal proposes to develop an agile methodology to identify bad actor parts to proactively address part performance. The methodology with algorithms and models will be developed by merging ideas from different areas of Science and Engineering. Some of the algorithms and models to researched for methodology development are ranking models, record-linkage algorithms, Hidden markov Model, and Soft-testing. Results will be documented in the final report to Phase I. BENEFIT: Accurate identification of bad actor airfraft parts will be very beneficial to Air Force and DoD for cost containment, reduction of flow days, and efficient use of human resources. The proposed methodoly will be useful to engineers, equipment specialists, and supply chain managers and system engineers. Potentially, the algorithms and models developed will be applicable to other industries such as financials and semiconductor.

* information listed above is at the time of submission.

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