Abstract
In scheduled air transport, airline profitability is strongly impacted by an airline's ability to construct flight schedules. Airlines face operational challenges such as schedule disruptions and limited resources affecting the efficiency of the operations. These delays may have cascading impacts on the subsequent flights, as they affect the crew's schedule and possibly aircraft schedules as well. Consequently, negative effects of the initial delay propagate through the network until the slack between flights can absorb the delay. This paper makes functional and economic comparisons between robust planning and disruption management in the case of delay. Approaches based on the Dantzig–Wolfe decomposition are used to solve the problem. The proposed technique was implemented on an actual data set of one of the major Iranian airlines with more than 35 aeroplanes that fly between 50 airports. The computational results show the proposed methodology can solve the problem optimally and significantly reduce the delay of flights.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Proceedings of the Institution of Civil Engineers - Transport
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
