Optimal flight scheduling models for cargo airlines under alliances

Journal of Scheduling

Volumn 11, Issue 3, 2008, Pages 175-186

  Yan, Shangyao ^a   Chen, Chia Hung ^b  

^a NATIONAL CENTRAL UNIVERSITY   (Taiwan)

^b SHU TE UNIVERSITY   (Taiwan)

Author keywords

Airport selection; Alliance; Cargo; Fleet routing; Multiple commodity network flow problem; Scheduling

Indexed keywords

FLIGHT CONTROL SYSTEMS; MATHEMATICAL MODELS; MATHEMATICAL PROGRAMMING; NUMERICAL METHODS; SCHEDULING;

AIRPORT SELECTION; CARGO; FLEET ROUTING; MULTIPLE COMMODITY NETWORK FLOW PROBLEM; NUMERICAL TESTS;

CARGO AIRCRAFT;

EID: 43149108596     PISSN: 10946136     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10951-007-0020-1     Document Type: Article

References (17)

1. J. K. Brueckner W. T. Whalen 2000 The price effects of international airline alliances Journal of Law and Economics 43 2 503 545 10.1086/467464 Brueckner, J. K., & Whalen, W. T. (2000). The price effects of international airline alliances. Journal of Law and Economics, 43 (2), 503–545.
2. N. Dennis 2000 Scheduling issues and network strategies for international airline alliances Journal of Air Transport Management 6 75 85 10.1016/S0969-6997(99)00027-7 Dennis, N. (2000). Scheduling issues and network strategies for international airline alliances. Journal of Air Transport Management, 6, 75–85.
3. Etschmaier, M., & Mathaisel, D. (1984). Aircraft scheduling: the state of the art, In AGIFORS XXIV (pp. 181–209).
4. N. Evans 2001 Collaborative strategy: an analysis of the changing world of international airline alliances Tourism Management 22 229 243 10.1016/S0261-5177(01)00024-3 Evans, N. (2001). Collaborative strategy: an analysis of the changing world of international airline alliances. Tourism Management, 22, 229–243.
5. P. Jaillet S. Gao G. Yu 1996 Airline network design and hub location problem Location Science 14 3 195 212 10.1016/S0966-8349(96)00016-2 Jaillet, P., Gao, S., & Yu, G. (1996). Airline network design and hub location problem. Location Science, 14 (3), 195–212.
6. M. Z. F. Li 2000 Distinct features of lasting and non-lasting airline alliances Journal of Air Transport Management 6 65 73 10.1016/S0969-6997(99)00024-1 Li, M. Z. F. (2000). Distinct features of lasting and non-lasting airline alliances. Journal of Air Transport Management, 6, 65–73.
7. C. C. Lin Y. J. Lin D. Y. Lin 2003 The economic effects of center-to-center directs on hub-and-spoke networks for air express common carriers Journal of Air Transport Management 9 4 255 265 10.1016/S0969-6997(03)00019-X Lin, C. C., Lin, Y. J., & Lin, D. Y. (2003). The economic effects of center-to-center directs on hub-and-spoke networks for air express common carriers. Journal of Air Transport Management, 9 (4), 255–265.
8. M. Lohatepanont C. Barnhart 2004 Airline schedule planning: integrated models and algorithms for schedule design and fleet assignment Transportation Science 38 1 19 32 10.1287/trsc.1030.0026 Lohatepanont, M., & Barnhart, C. (2004). Airline schedule planning: integrated models and algorithms for schedule design and fleet assignment. Transportation Science, 38 (1), 19–32.
9. T. H. Oum C. Yu A. Zhang 2001 Global airline alliances: international regulatory issues Journal of Air Transport Management 7 57 62 10.1016/S0969-6997(00)00034-X Oum, T. H., Yu, C., & Zhang, A. (2001). Global airline alliances: international regulatory issues. Journal of Air Transport Management, 7, 57–62.
10. J. H. Park A. Zhang 2000 An empirical analysis of global airline alliances: cases in north Atlantic markets Review of Industrial Organization 16 4 367 384 10.1023/A:1007888821999 Park, J. H., & Zhang, A. (2000). An empirical analysis of global airline alliances: cases in north Atlantic markets. Review of Industrial Organization, 16 (4), 367–384.
11. D. Teodorovic 1998 Airline operation research Gordon and Breach Science New York Teodorovic, D. (1998). Airline operation research. New York: Gordon and Breach Science.
12. T. M. Vowles 2000 The geographic effects of US airline alliances Journal of Transport Geography 8 277 285 10.1016/S0966-6923(00)00012-0 Vowles, T. M. (2000). The geographic effects of US airline alliances. Journal of Transport Geography, 8, 277–285.
13. S. Yan C. H. Tseng 2002 A passenger demand based model for airline flight scheduling and fleet routing Computers and Operations Research 29 1559 1581 10.1016/S0305-0548(01)00046-6 Yan, S., & Tseng, C. H. (2002). A passenger demand based model for airline flight scheduling and fleet routing. Computers and Operations Research, 29, 1559–1581.
14. S. Yan H. F. Young 1996 A decision support framework for multi-fleet routing and multi-stop flight scheduling Transportation Research A 30 79 398 Yan, S., & Young, H. F. (1996). A decision support framework for multi-fleet routing and multi-stop flight scheduling. Transportation Research A, 30, 79–398.
15. S. Yan C. H. Lai C. H. Chen 2005 A short-term flight scheduling model for international express package delivery Journal of Air Transport Management 11 368 374 10.1016/j.jairtraman.2005.05.001 Yan, S., Lai, C. H., & Chen, C. H. (2005). A short-term flight scheduling model for international express package delivery. Journal of Air Transport Management, 11, 368–374.
16. Yan, S., Tang, C. H., & Lee, M. C. (2006, forthcoming). A flight scheduling model for Taiwan airlines under market competitions. Omega—The International Journal of Management Science.
17. A. Zhang Y. V. Hui L. Leung 2004 Air cargo alliances and competition in passenger markets Transportation Research E 40 83 100 10.1016/S1366-5545(03)00034-6 Zhang, A., Hui, Y. V., & Leung, L. (2004). Air cargo alliances and competition in passenger markets. Transportation Research E, 40, 83–100.