AVILYTICS

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PREDICTIVE MAINTENANCE & AIRCRAFT RELIABILITY MANAGEMENT SOFTWARE

Avilytics is a NextGen aviation analytics software tool designed for aviation Engineering & Maintenance developed by aviation engineers. The focus is on aircraft reliability management & predictive maintenance by combining real-time, historic, and predictive capabilities. Avilytics automatically processes operational, engineering, and airworthiness data into information and visualizes it in a simple way; It enables to turn aircraft data into big insights. 

Aircraft Reliability Management

The main purpose of an aircraft reliability program is to ensure that the aircraft maintenance program tasks are effective and that the periodic tasks are performed adequately. Avilytics displays these tasks in real-time in several dashboards eliminating the need for manual reporting. Corrective actions can be taken immediately and the outcome of these actions monitored easily. From dispatch reliability, repeated defect analysis, findings per ATA chapter, optimal fleet utilization till downloading the aircraft reliability report with one click, Avilytics is 100% Spec2000 Chapter 11 compliant. 

Predictive Maintenance: AOG Risk Prediction

If an aircraft is not available for service, or is delayed due to a mechanical problem its value is compromised and significant costs can be incurred by the airline. Maintenance and Operations Control can use the AOG risk monitor within Avilytics to see the likeliness of incurring an AOG on individual aircraft within 7 days of operation and 14 days of operation. It allows to identify specifically those parts installed on the aircraft that are most likely to fail. This enables more informed decision making in day of operations to prevent delays & cancellations and save costs.

FACT SHEET AVILYTICS

For an overview of the functions within Avilytics, download the fact sheet.

FACT SHEET AVILYTICS

BENEFITS

EASY TO USE

Designed for aviation engineers by aviation engineers

COMPARE

Compare the overall technical performance between aircraft, fleets and operators

REDUCE

Reduce AOG thru informed decision making in day of operations

ACHIEVE

Achieve an optimal level of fleet availability

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