DocumentCode :
3250148
Title :
Crew scheduling models in airline disruption management
Author :
Chen, Xindu ; Chen, Xin ; Zhang, Xinhui
Author_Institution :
Dept. of Electromech. Eng., Guangdong Univ. of Technol., Guangzhou, China
fYear :
2010
fDate :
29-31 Oct. 2010
Firstpage :
1032
Lastpage :
1037
Abstract :
This paper investigates the intra-fleet and inter-fleet model for the solution of crew scheduling problem during airline irregular operations. The intra-fleet model is widely adopted in the airline industry where flight is grouped together and works typically within a fleet. The inter-fleet model on the other hand, splits of flight attendant groups and reassign of them across different fleet. Though both these two models belong to the set covering problem with side constraints, the former is a 0-1 set covering problem while the latter is a general set covering problem, they exhibit different computational characteristics and a simulated annealing algorithm is developed and applied for models that are difficult to solve. Our results also show that the intra-fleet model, though widely used in practice, limits the solution space and could lead to inferior solutions; the inter-fleet model, on the other hand, offers much better solutions that could save millions of dollars for airlines.
Keywords :
management; scheduling; simulated annealing; travel industry; airline disruption management; airline irregular operations; crew scheduling; inferior solutions; inter-fleet model; intra-fleet model; simulated annealing; Annealing; Atmospheric modeling; Computational modeling; IP networks; Optimized production technology; Schedules; Simulated annealing; Crew Recovery Problem; Set Covering with Side Constraints; Simulated Annealing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Engineering Management (IE&EM), 2010 IEEE 17Th International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-6483-8
Type :
conf
DOI :
10.1109/ICIEEM.2010.5646449
Filename :
5646449
Link To Document :
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