Integrated Airline Fleet and Crew Robust Planning

被引:52
|
作者
Gao, Chunhua [1 ]
Johnson, Ellis [2 ]
Smith, Barry [2 ]
机构
[1] Sabre Holdings, Southlake, TX 76092 USA
[2] Georgia Inst Technol, H Milton Stewart Sch Ind & Syst Engn, Atlanta, GA 30332 USA
关键词
airline integrated planning; integer programming; robust scheduling; MAINTENANCE ROUTING PROBLEM; BENDERS DECOMPOSITION; SCHEDULING PROBLEMS; OPERATIONS-RESEARCH; ASSIGNMENT PROBLEM; TIME WINDOWS; CONSTRAINTS; DECISIONS; INDUSTRY; MODELS;
D O I
10.1287/trsc.1080.0257
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
The airline fleet assignment problem involves assigning aircraft to flights to maximize profit. Different fleet assignment solutions cause dramatically different performance in subsequent crew-planning and operational processes. We have developed an integrated fleet and crew robust planning method to provide fleet assignment solutions that are both friendly to crew planning and robust to real-time operations. The three challenges of this work are (1) to understand the influence of fleet assignment on crew scheduling; (2) to address crew scheduling in a tractable way in the integrated model; and (3) to achieve robustness. We address these challenges by developing a new approach that integrates crew connections within the fleet assignment model and imposes station purity by limiting the number of fleet types and crew bases allowed to serve each airport. Computational results demonstrate that the proposed approach can reduce crew-planning cost, improve robustness, and solve industrial-size problems with good computational efficiency.
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页码:2 / 16
页数:15
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