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A decision support framework for multi-fleet routing and multi-stop flight scheduling

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  • Yan, Shangyao
  • Young, Hwei-Fwa

Abstract

Fleet routing and flight scheduling are important in airline carrier operations. Ineffective and inefficient fleet routing and flight scheduling will result in a substantial loss of profits. This research aims at developing a framework to help carriers adjust their draft timetables and fleet routes, when market demand conditions are expected to change in the near future. The framework is based on a basic model, constructed as a multi-fleet time-space network from which several strategic models are developed, to help carriers in fleet routing and flight scheduling. These models are formulated as multiple commodity network flow problems. The Lagrangian relaxation accompanied by the network simplex method, a Lagrangian heuristic and a modified sub-gradient method are suggested to solve the problems. A flow decomposition algorithm is also suggested in order to trace every aircraft route. To show how to apply this framework in the real world, a case study regarding the international operations of a major Taiwan airline was performed. The results show that, the framework would be useful for actual operations.

Suggested Citation

  • Yan, Shangyao & Young, Hwei-Fwa, 1996. "A decision support framework for multi-fleet routing and multi-stop flight scheduling," Transportation Research Part A: Policy and Practice, Elsevier, vol. 30(5), pages 379-398, September.
    • Handle: RePEc:eee:transa:v:30:y:1996:i:5:p:379-398
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    Cited by:

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    3. Thengvall, Benjamin G. & Yu, Gang & Bard, Jonathan F., 2001. "Multiple fleet aircraft schedule recovery following hub closures," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(4), pages 289-308, May.
    4. Lavanya Marla & Bo Vaaben & Cynthia Barnhart, 2017. "Integrated Disruption Management and Flight Planning to Trade Off Delays and Fuel Burn," Transportation Science, INFORMS, vol. 51(1), pages 88-111, February.
    5. Hanif D. Sherali & Ebru K. Bish & Xiaomei Zhu, 2005. "Polyhedral Analysis and Algorithms for a Demand-Driven Refleeting Model for Aircraft Assignment," Transportation Science, INFORMS, vol. 39(3), pages 349-366, August.
    6. Stephen J. Maher, 2016. "Solving the Integrated Airline Recovery Problem Using Column-and-Row Generation," Transportation Science, INFORMS, vol. 50(1), pages 216-239, February.
    7. Jay M. Rosenberger & Ellis L. Johnson & George L. Nemhauser, 2003. "Rerouting Aircraft for Airline Recovery," Transportation Science, INFORMS, vol. 37(4), pages 408-421, November.
    8. Abdelghany, Khaled F. & Abdelghany, Ahmed F. & Ekollu, Goutham, 2008. "An integrated decision support tool for airlines schedule recovery during irregular operations," European Journal of Operational Research, Elsevier, vol. 185(2), pages 825-848, March.
    9. Yan, Shangyao & Tang, Ching-Hui & Fu, Tseng-Chih, 2008. "An airline scheduling model and solution algorithms under stochastic demands," European Journal of Operational Research, Elsevier, vol. 190(1), pages 22-39, October.
    10. Srećko KRILE & Marina KRILE, 2015. "New approach in definition of multi-stop flight routes," Transport Problems, Silesian University of Technology, Faculty of Transport, vol. 10(1), pages 87-96, March.
    11. Antunes, António P. & Santos, Miguel G. & Pita, João P. & Menezes, António G., 2018. "Study on the evolution of the air transport network of the Azores," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 837-851.
    12. Cheng-Lung Wu, 2006. "Improving Airline Network Robustness and Operational Reliability by Sequential Optimisation Algorithms," Networks and Spatial Economics, Springer, vol. 6(3), pages 235-251, September.
    13. Bard, Jonathan F. & Mohan, Dinesh Natarajan, 2008. "Reallocating arrival slots during a ground delay program," Transportation Research Part B: Methodological, Elsevier, vol. 42(2), pages 113-134, February.
    14. Shangyao Yan & Chun-Ying Chen, 2011. "An optimization model and a solution algorithm for the many-to-many car pooling problem," Annals of Operations Research, Springer, vol. 191(1), pages 37-71, November.
    15. Yan, Shangyao & Chen, Hao-Lei, 2002. "A scheduling model and a solution algorithm for inter-city bus carriers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(9), pages 805-825, November.
    16. Yan, Shangyao & Lin, Jenn-Rong & Lai, Chun-Wei, 2013. "The planning and real-time adjustment of courier routing and scheduling under stochastic travel times and demands," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 53(C), pages 34-48.
    17. Yan, Shangyao & Tang, Ching-Hui, 2007. "A heuristic approach for airport gate assignments for stochastic flight delays," European Journal of Operational Research, Elsevier, vol. 180(2), pages 547-567, July.
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    19. Lai, M. F. & Lo, Hong K., 2004. "Ferry service network design: optimal fleet size, routing, and scheduling," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(4), pages 305-328, May.
    20. Shangyao Yan & Fei-Yen Hsiao & Yi-Chun Chen, 2015. "Inter-School Bus Scheduling Under Stochastic Travel Times," Networks and Spatial Economics, Springer, vol. 15(4), pages 1049-1074, December.

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