Flexjet Crew Preferences Conflict Adaptive Monitoring

Jessica Christa Wira, Embry-Riddle Aeronautical University
Caelin Sergent, Embry-Riddle Aeronautical University
Trent Bazemore, Embry-Riddle Aeronautical University

Abstract

Flexjet Inc. is a private aviation company that supports the needs of multiple established private jet brands such as providing crew management and scheduling. Planning crew schedules is one of the many challenges they face due to the complex set of requirements such as ensuring that there are enough crew available to meet customers’ demands. Additionally, crew preferences are also considered in the scheduling process, and these are collected by a crew-facing mobile application. However, Flexjet’s crew services team found many conflicts present in the preferences input which should have been caught when entering them. Therefore, this research aims to develop a crew preference adaptive monitoring system that would track a set of crew preferences, identify if there are any conflicts, and return the conflicting preferences along with supporting information. Our research has concluded that most crew members had conflicts with their preferred workdays in each 28-day bidding period and most conflicts occurred within holiday periods.

 

Flexjet Crew Preferences Conflict Adaptive Monitoring

Flexjet Inc. is a private aviation company that supports the needs of multiple established private jet brands such as providing crew management and scheduling. Planning crew schedules is one of the many challenges they face due to the complex set of requirements such as ensuring that there are enough crew available to meet customers’ demands. Additionally, crew preferences are also considered in the scheduling process, and these are collected by a crew-facing mobile application. However, Flexjet’s crew services team found many conflicts present in the preferences input which should have been caught when entering them. Therefore, this research aims to develop a crew preference adaptive monitoring system that would track a set of crew preferences, identify if there are any conflicts, and return the conflicting preferences along with supporting information. Our research has concluded that most crew members had conflicts with their preferred workdays in each 28-day bidding period and most conflicts occurred within holiday periods.