Proactive Methodology for Identifying Problem Aerospace Parts

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.