Strategies for managing the flexible capacity in the airline industry

被引:16
作者
Bish, EK
Suwandechochai, R
Bish, DR
机构
[1] Virginia Polytech Inst & State Univ, Grado Dept Ind & Syst Engn, Blacksburg, VA 24061 USA
[2] United Airlines Res & Dev Div, Chicago, IL USA
关键词
D O I
10.1002/nav.20019
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 ability to effectively match supply and demand under uncertainty can result in significant revenue benefits in the airline industry. We study the benefits of a Demand Driven Swapping (DDS) approach that takes advantage of the flexibilities in the system and dynamically swaps aircraft as departures near and more accurate demand information is obtained. We analyze the effectiveness of different DDS strategies, characterized by their frequency (how often the swapping decision is revised), in hedging against demand uncertainty. Swapping aircraft several weeks prior to departures will not cause much disturbance to revenue management and operations, but will be based on highly uncertain demands. On the other hand, revising the swapping decision later will decrease the possibility of bad swaps, but at a higher cost of disrupting airport services and operations. Our objective is to provide guidelines on how the flexible (swappable) capacity should be managed in the system. We study analytical models to gain insights into the critical parameters that affect the revenue benefits of the different swapping strategies. Our study determines the conditions under which each of the different DDS strategies is effective. We complement our analysis by testing the proposed DDS strategies on a set of flight legs, using data obtained from United Airlines. (C) 2004 Wiley Periodicals, Inc.
引用
收藏
页码:654 / 685
页数:32
相关论文
共 19 条
[1]  
AHUJA R, 2000, AIRLINE FLEET SCHEDU
[2]  
BAROCIOCOTS R, 1999, THESIS MIT BOSTON MA
[3]   DEMAND DRIVEN DISPATCH - A METHOD FOR DYNAMIC AIRCRAFT CAPACITY ASSIGNMENT, MODELS AND ALGORITHMS [J].
BERGE, ME ;
HOPPERSTAD, CA .
OPERATIONS RESEARCH, 1993, 41 (01) :153-168
[4]  
BISH EK, 2002, STRATEGIES MANAGING
[5]  
COY SP, 2001, INFORMS INT M JUN
[6]   Mathematical models in airline schedule planning: A survey [J].
Gopalan, R ;
Talluri, KT .
ANNALS OF OPERATIONS RESEARCH, 1998, 76 (0) :155-185
[7]  
JACOBS TL, 2000, OR MS TODAY, V37, P36
[8]   Revenue management: Research overview and prospects [J].
McGill, JI ;
Van Ryzin, GJ .
TRANSPORTATION SCIENCE, 1999, 33 (02) :233-256
[9]  
PASTOR J, 1999, P AGIFORS S, P162
[10]   Rerouting aircraft for airline recovery [J].
Rosenberger, JM ;
Johnson, EL ;
Nemhauser, GL .
TRANSPORTATION SCIENCE, 2003, 37 (04) :408-421