Proactive Methodology for Identifying Problem Aerospace Parts

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8117-12-C-0005
Agency Tracking Number: F112-208-0889
Amount: $149,616.00
Phase: Phase I
Program: SBIR
Awards Year: 2012
Solicitation Year: 2011
Solicitation Topic Code: AF112-208
Solicitation Number: 2011.2
Small Business Information
2417 Red Elm CT, Edmond, OK, -
DUNS: 014155393
HUBZone Owned: N
Woman Owned: Y
Socially and Economically Disadvantaged: Y
Principal Investigator
 Vivet George
 (405) 821-1051
Business Contact
 K. George
Title: Chief Technoly Officer
Phone: (405) 921-1051
Research Institution
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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