Chronic Identifier
Quickly Identify Repeat Issues To Reduce AOGs
One chronic aircraft can cost an airline millions of dollars each year. When repeat issues increase to multiple AOGs, airlines experience more than maintenance costs. Customer satisfaction drops, crews are out of position, and it opens the door to increased regulatory scrutiny and fines.
AIXI’s Chronic Identifier quickly identifies chronic aircraft and the top ATA codes causing issues in a fleet. It leverages AIXI’s ATA AutoCoder, plus AI-enabled trend and root cause analysis to preset aircraft and top discrepancies. With a dollar value assigned, teams can quickly see which aircraft and repeat issues are costing them the most money and time.
AIXI’s Chronic Identifier benefits multiple teams.
- Maintenance Control can easily determine when, where, and how to address chronic aircraft. With visibility into what’s causing AOGs, leaders can access aircraft defects that need to be relayed to the manufacturer. AIXI’s Chronic Identifier quickly highlights potential safety issues.
- Reliability leaders get insight into potential fleet-based trends based on aircraft type, age, routes, part replacements, and other metrics.
- Technicians on the line can use the Chronic Identifier to drill into what’s been tried before and explore new ways to fix what’s actually causing repetitive issue.
- Builds off ATA AutoCoder data without any additional codes or identifiers
- Provides views by aircraft and ATA codes to quickly present top issues
- Offers easy report generation and sharing
- Customize cost value, timeframe, and views
AIXI’s ATA AutoCoder integrates with legacy and home-grown systems to read non-structured maintenance data. By automatically assigning five categories to maintenance records, AIXI AI models make accurate, useful correlations and connections about chronic aircraft and repetitive work orders.
Find and fix chronic aircraft and repeat issues faster with AIXI’s Chronic Identifier.
