A New Pricing Scheme for Airline Crew Scheduling

Published Online:https://doi.org/10.1287/ijoc.1020.0026

References

  • Anbil R., Johnson E., Tanga R. A global optimization approach to crew scheduling. IBM Systems J. (1991a) 31:62–74Google Scholar
  • Anbil R., Forrest J., Pulleyblank W. R. Column generation and the airline crew pairing problem. Extra Volume Proc. Internat. Congress of Mathematicians (1998) Berlin, Germany http://www.math.uiuc.edu/documenta/xvol-icm/17/17.htmlCrossrefGoogle Scholar
  • Anbil R., Gelman E., Patty B., Tanga R. Recent advances in crew pairing optimization at American Airlines. Interfaces (1991b) 21:62–74LinkGoogle Scholar
  • Anderson E., Housos E., Kohl N., Wedelin D., Yu G. Crew pairing optimization. Operations Research in the Airline Industry (1998) (Kluwer, Boston, MA) 228–258CrossrefGoogle Scholar
  • Barnhart C., Johnson E., Nemhauser G., Vance P., Hall R. Crew scheduling. Handbook of Transportation Science (1999) (Kluwer, Boston, MA) 493–521CrossrefGoogle Scholar
  • Barnhart C., Cohn A., Johnson E., Klabjan D., Nemhauser G., Vance P., Hall R. Airline crew scheduling. Handbook of Transportation Science (2003) (Kluwer, Boston, MA) 517–560CrossrefGoogle Scholar
  • Bixby R., Gregory J., Lustig I., Marsten R., Shanno D. Very large-scale linear programming: A case study in combining interior point and simplex methods. Oper. Res. (1992) 40:885–897LinkGoogle Scholar
  • Desaulniers G., Desrosiers J., Ioachim I., Solomon M., Soumis F., Crainic T., Laporte G. A unified framework for deterministic time constrained vehicle routing and crew scheduling problems. Fleet Management and Logistics (1998) (Kluwer, Boston, MA) 57–93CrossrefGoogle Scholar
  • Desrochers M., Soumis F. A generalized permanent labeling algorithm for the shortest path problem with time windows. INFOR (1988) 26:191–212Google Scholar
  • Desrosiers J., Dumas Y., Desrochers M., Soumis F., Sanso B., Trudeau P. A breakthrough in airline crew scheduling. (1991) . Technical Report G-91-11, Groupe d'Etudes et de Recherche en Analyse des Decisions, Montreal, CanadaGoogle Scholar
  • Desrosiers J., Dumas Y., Solomon M., Soumis F., Ball M., Magnanti T., Monma C., Nehmhauser G. Time constrained routing and scheduling. Handbook in Operations Research/Management Science, Network Routing (1995) 8(Elsevier Science, Amsterdam, The Netherlands) 35–139Google Scholar
  • Gershoff I. Optimizing flight crew schedules. Interfaces (1989) 19:29–43LinkGoogle Scholar
  • Gopalakrishnan B., Johnson E., Lee E., Pritchett A. A subproblem approach for solving the airline crew pairing problem. (2001) Presentation at INFORMS Fall 2001, Miami Beach, FLGoogle Scholar
  • Hu J., Johnson E. Computational results with a primal-dual subproblem simplex method. Oper. Res. Lett. (1999) 25:149–158CrossrefGoogle Scholar
  • Klabjan D., Johnson E., Nemhauser G. Solving large airline crew scheduling problems: Random pairing generation and strong branching. Comput. Optim. Appl. (2001) 20:73–91CrossrefGoogle Scholar
  • Makri A., Klabjan D. Algorithms for source-to-all maximum cost to time ratio problem in acyclic networks. Networks (2003) 42:1–14CrossrefGoogle Scholar
  • Vance P., Atamtürk A., Barnhart C., Gelman E., Johnson E., Krishna A., Mahidhara D., Nemhauser G., Rebello R. A heuristic branch-and-price approach for the airline crew pairing problem. (1997) . Technical Report LEC-97-06, Department of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GAGoogle Scholar
INFORMS site uses cookies to store information on your computer. Some are essential to make our site work; Others help us improve the user experience. By using this site, you consent to the placement of these cookies. Please read our Privacy Statement to learn more.