INTEGRATED CREW AND RESERVE CREW SCHEDULING UNDER UNCERTAINTY CONDITION

Scheduling algorithms in Airline crew seemingly has some points of disruptions, which causes great expenditure. We, therefore, have designed algorithms for solving this issue. The suggested model is an approximation of crew under uncertainty condition. We have considered that all pairings would operate as pre-scheduled. Our findings revealed that the crew schedule operate better in disruption operation. The crew schedules found using our method perform better relative to lower bound.