IoT-enabled airline crew management solutions automate and simplify the crew pairing and rostering processes to improve crew performance, increase operational efficiency, and enable increased visibility into crew trends and fatigue.
Crew-related expenses, including pilots and flight attendants, are the second greatest cost to airline operations. And according to a study by Dartmouth, advance planning and improved scheduling practices could reduce delays by as much as 30 percent, and with delays costing the average passenger plane $75.24 per minute, there’s a big incentive to take off on time.
Crew planning and scheduling is one of the most complex process in airline operations. Creating one to five day itineraries, selecting and assigning crew while managing fatigue, licenses and certifications, and ensuring compliance with aviation legislation and contracts, is a process that, when done manually, once took six to eight people over the course of several weeks.
IoT provides an opportunity for airlines to gather additional data on fatigue and performance to make optimal assignments, report on crew behavior and trends, and help managers pinpoint the causes of delays. With the addition of machine learning technologies, airline crew management solutions can make real-time decisions based on the past and current performance of crews to better balance crew performance and satisfaction.