INTEGRATED CREW AND RESERVE CREW SCHEDULING UNDER UNCERTAINTY CONDITION

Authors

  • Zahra Armand M.Sc., Department of Industrial Engineering, Faculty of Engineering, Alzahra University, Tehran, Iran.
  • Saba Karimi Azam M.Sc., Department of Industrial Engineering, Faculty of Engineering, Alzahra University, Tehran, Iran.
  • Milad Soraghi M.Sc., Department of Industrial Engineering, Faculty of Engineering, Alzahra University, Tehran, Iran.

Keywords:

airline, planning, crew, schedule

Abstract

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.

References

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Additional Files

Published

15-10-2021

How to Cite

Zahra Armand, Saba Karimi Azam, & Milad Soraghi. (2021). INTEGRATED CREW AND RESERVE CREW SCHEDULING UNDER UNCERTAINTY CONDITION. International Education and Research Journal (IERJ), 7(10). Retrieved from https://ierj.in/journal/index.php/ierj/article/view/2358