[1]
Guo Wei, Gang Yu, Mark Song, Jan. 1997. Optimization model and algorithm for crew management during airline irregular operations. Journal of Combinatorial Optimization, Vol. 1, No. 3, pp.305-321.
Google Scholar
[2]
Thomas Emden, Weinert T, Proksch M., 1999. Best Practice Simulated Annealing for the Airline Crew Scheduling Problem. Journal of Heuristics, Vol. 5, No. 4, pp.419-436.
Google Scholar
[3]
Stojkovic M, Soumis F., Sept. 2001. An optimization model for the simultaneous operational flight and pilot scheduling problem. Management Science, Vol. 47, No. 9, pp.1290-1305.
DOI: 10.1287/mnsc.47.9.1290.9780
Google Scholar
[4]
Stojkovic M, Soumis F., 2005. The operational flight and multi-crew scheduling problem. Yugoslav Journal of Operations Research, Vol. 15, No. 1, pp.25-48.
DOI: 10.2298/yjor0501025s
Google Scholar
[5]
Gang Yu, Michael Argüello, Gao Song, Sandra M. McCowan, Anna White, January/February 2003. A new era for crew recovery at Continental Airlines. Interfaces, Vol. 33, No. 1, pp.5-22.
DOI: 10.1287/inte.33.1.5.12720
Google Scholar
[6]
Ahmed Abdelghany, Goutham Ekollu, Ram Narasimhan, Khaled Abdelghany, 2004. A proactive crew recovery decision support tool for commercial airlines during irregular operations. Annals of Operations Research, Vol. 127, No. 1-4, pp.309-331.
DOI: 10.1023/b:anor.0000019094.19940.41
Google Scholar
[7]
Yufeng Guo, 2005. A decision support framework for the airline crew schedule disruption management with strategy mapping. Operations Research Proceedings, Vol. 2004, Part 5, pp.158-165.
DOI: 10.1007/3-540-27679-3_20
Google Scholar
[8]
Rüdiger Nissen, Knut Haase, Sept. 2006. Duty-period-based network model for crew rescheduling in European airlines. Journal of Scheduling, Vol. 9, No. 3, pp.255-278.
DOI: 10.1007/s10951-006-6780-1
Google Scholar