AF Life Cycle Management Center Enhancing the USAF

AF Life Cycle Management Center Enhancing the USAF Corrosion Survey Process Via Advanced Analytics Integration Nicole de Vries Data Scientist, Pav. Con LLC AFCPCO Contractor (706)464 -0477 ndevries@pavconllc. com Providing the Warfighter’s Edge

Objectives AFLCMC… Providing the Warfighter’s Edge • Proactively integrate data prior to Corrosion Surveys • Identify statistically significant drivers of corrosion • Develop structures to validate and quantifiably explore findings in field 2

Process Overview AFLCMC… Providing the Warfighter’s Edge Design Model Execute Monitor Optimize Pre-Survey Analysis Checklist Development Site Survey Review Results Adaptable and Iterative Evaluate & Adjust 3

Pre-Survey Analysis: Data Enrichment and Filtering AFLCMC… Providing the Warfighter’s Edge • Corrosion Identification Algorithm – Logic based on business rules: • Codes, specific WUC, action taken, etc. • Language: rust, pit, galvanic, oxidize, corrosion, corrotion, etc. • Machine Learning Classification Algorithm – 700~ training records – Classifies into 1 of 5 corrosion action taken groups 4

Pre-Survey Analysis: Fleet Wide Trends AFLCMC… Providing the Warfighter’s Edge ^ Hypothetical, for illustrative purposes 5

Pre-Survey Analysis: Fleet Wide Trends AFLCMC… Providing the Warfighter’s Edge Outlier > Upper Whisker = 75 th percentile + 1. 5 x middle 50% of values (Q 3+1. 5 x. IRQ) “So What” Statement System & Part Distribution Overall Time Trend ^ Hypothetical, for illustrative purposes 6

Pre-Survey Analysis: Command Wide Trends AFLCMC… Providing the Warfighter’s Edge 1. 2. ^ Hypothetical, for illustrative purposes 1. By Location/ Group Time Trends 2. Quarter Heat Map 3. Contextual Bars and Raw Numbers 3. 7

Pre-Survey Analysis: System Drivers AFLCMC… Providing the Warfighter’s Edge “So What” Statement List for SME Review Interesting Shift in Action Taken WUC Distribution Time Trend % Action Taken 8

Pre-Survey Analysis: Tail Drivers AFLCMC… Providing the Warfighter’s Edge “Outlier” Tail Column per Assets Drillable System Drivers 9

Checklist Development: Rubric AFLCMC… Providing the Warfighter’s Edge 10

Additional Breakout Request AFLCMC… Providing the Warfighter’s Edge Hot spot areas explored by combination of codes and language 11

Site Survey & Review Results AFLCMC… Providing the Warfighter’s Edge • Fleet and Base Summaries Reviewed • Rubric Utilized: – Printed paper – Electronics – Voice (future) • Results – Quantifiable numbers produced – Extra data breakout request driven by field findings – Functional feedback shared/experienced 12

Future AFLCMC… Providing the Warfighter’s Edge • Enhance Dashboard – Flow – Accessibility in field • Dynamic Rubrics for Varied Collection Demands and Environments • More “So What” • WUC Correction • Incorporate/Rank by Other Metrics: – Non-Availability Hours (NAH) drivers – Cost 13

Conclusion: Reusable, Flexible, Scalable Methodologies AFLCMC… Providing the Warfighter’s Edge • Corrosion Net • Investigative Techniques – Cyclical process with a standard core – Min update to core every 5 years per MAJCOM / MDS survey • Qualitative networks: dynamic thought process • Quantitative methodologies: proactive use of data • Rubric Structure • Quantifiable ROI Driven Results Long Poles: Incorporate additional ROI factors. Automating in a dynamic environment. 14

Box plot ref slide AFLCMC… Providing the Warfighter’s Edge 18