Study on Optimization of Multi-Type Aircraft Scheduling Robust Model

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Abstract:

Phased implementation approach, namely three models: aircraft type distribution model, aircraft scheduling model, robustness model is used to achieve the optimization of aircraft scheduling robustness. Aircraft type distribution model is established to obtain the best model of each leg; then fleet scheduling model is established to determine specified type in the implementation of the specific aircrafts for each flight, flight strings, which meet the constraints, are obtained by solving; finally, the flight robustness model is established, that is, flight string with minimal impact is selected from above flight strings to obtain high robustness of multi-type flight scheduling combination. The phased multi-type aircraft scheduling robust model has been successfully applied in the domestic airline scheduling, it has been achieved a better effect of robust optimization.

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347-353

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November 2010

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© 2011 Trans Tech Publications Ltd. All Rights Reserved

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[1] Zhang Xianghui: Traffic Enterprise Management Vol. 24 (2009), p.57.

Google Scholar

[2] Huang Wei, Zhang Xianghui, Wang Wenjun: Traffic Enterprise Management Vol. 29 (2009), p.65.

Google Scholar

[3] Ma Hui, Lin Chen: Journal of China Civil Aviation Institute Vol. 23 (2005), p.11.

Google Scholar

[4] Sun Hong: Airways flight scheduling model and algorithm(Chengdu: Southwest Jiaotong University, 2003).

Google Scholar

[5] Sun Hong, Du Wen: Traffic and Transportation Engineering Newspaper Vol. 4 (2004), p.117.

Google Scholar

[6] Wei Huang, Xianghui Zhang, Wenjun Wang: AbuDhabi: 13th Air Transport Research Society (ATRS) World Conference (2009).

Google Scholar

[7] Barnhart C: Flight String Models for Aircraft Fleeting and Routing. MIT Center for Transportation Studies (1997).

Google Scholar

[8] Ageeva Y: Approaches to Incorporating Robustness into Airline Scheduling. Massachusetts Institute of Technology (2000).

Google Scholar

[9] Rosenberger J, Johnson E, Nemhauser G: A Robust Fleet Assignment Model with Hub Isolation and Short Cycles. Atlanta: SISE Georgia Institute of Technology (2001).

DOI: 10.1287/trsc.1030.0038

Google Scholar

[10] Bian F, Burke E, Jain S: Making Airline Schedules More Robust. Nottingham UK: Proceedings of the 1st Multidisciplinary International Conference on Scheduling: Theory and Applications (MISTA 2003), p.678.

Google Scholar

[11] Schaefer A J, Johnson E L, Kleywegt A J: Robust Airline Crew Scheduling. Institute for Operations Research and Management Science Conference (2000).

Google Scholar

[12] Schaefer A J, Johnson E L, Kleywegt A J: Transportation Science (2005).

Google Scholar

[13] Ehrgott M, Ryan D: Journal of Multi-Criteria Decision Analysis Vol. 11 (2002), p.139.

Google Scholar

[14] Yen J, Birge J: A stochastic Programming Approach to the Airline Crew Scheduling Problem. Seattle: University of Washington (2000).

Google Scholar

[15] Yu, C. H, Li, H. L: International Journal of Production Economics, Vol. 64 (2000), p.385.

Google Scholar