Abstract
The PC and PC network environments continue to experience rapid technological advances pushing the bounds of both computing speed and memory size. Both of these factors have constrained us, in the past, from being able to solve practical optimization problems of any large size in this environment. This was especially true for problems such as airline crew scheduling and fleet assignment, whose problem size grows rapidly with the size of the input data. As the PC and PC network environments become more powerful, new tools are emerging that can harness and enable users to easily access and exploit that power.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Anbil, R., R. Tanga and E. Johnson (1992) A Global Approach to Crewpairing Optimization’, IBM Systems Journal, 31(1), 71–8.
Anbil, R., E. Gelman, B. Patty and R. Tanga (1991) ‘Recent Advances in Crew-Pairing Optimization at American Airlines’, Interfaces, 2(1), 62–74.
Atamturk, A., E. Johnson, J. Linderoth and M. Savelsbergh (1996) ARMOS: A Relational Modeling System’, Working Paper, School of Industrial and Systems Engineering, Georgia Institute of Technology.
Chvatal, V. (1983) Linear Programming (New York: W.H. Freeman).
Clarke, L., C. Hane, E. Johnson and G. Nemhauser (1996) ‘Maintenance and Crew Considerations in Fleet Assignment’, Transportation Science, 30(3), 249–60.
Hu, J. (1997) ‘Solving Linear Programs Using Primal-Dual Sub problem Simplex Method and Quasi-explicit Matrices’, PhD thesis, School of Industrial Systems Engineering, Georgia Institute of Technology.
Editor information
Editors and Affiliations
Copyright information
© 1999 Rebecca L. Ho, Ellis L. Johnson and Tina L. Shaw
About this chapter
Cite this chapter
Johnson, E.L., Shaw, T.L., Ho, R.L. (1999). Modeling Tools for Airline-crew Scheduling and Fleet-assignment Problems. In: Ciriani, T.A., Gliozzi, S., Johnson, E.L., Tadei, R. (eds) Operational Research in Industry. Palgrave Macmillan, London. https://doi.org/10.1057/9780230372924_1
Download citation
DOI: https://doi.org/10.1057/9780230372924_1
Publisher Name: Palgrave Macmillan, London
Print ISBN: 978-1-349-41051-4
Online ISBN: 978-0-230-37292-4
eBook Packages: Palgrave Business & Management CollectionBusiness and Management (R0)