International route network optimization for airline alliance under uncertain demand

Abstract

Abstract: Taking the collaboration network of alliance airlines as the research object, based on the three-subscript model of hub-and-spoke network, and in response to the uncertainty of passenger demand, a stochastic programming model for the international route network optimization for airline alliance is constructed. The relatively better consistent international gateways, as well as the transportation paths and flows that vary with different scenarios can be obtained. Two indicators are proposed to evaluate the improving extent of the solution obtained from stochastic program than the deterministic approaches. The superiority of the stochastic programming model is verified by example analysis, providing useful decision-making reference for the construction and optimization of international route network for airline alliance.

Key words: international route network tontes, alliance rontes, uncertain demand, stochastic programming

CLC Number:

F560

YANG Wendong, SHAO Jiajia, ZHENG Wenjuan. International route network optimization for airline alliance under uncertain demand[J]. Journal of Civil Aviation University of China, 2020, 38(3): 34-39.

References 18

[1]	OUM T H, PARK J H. Airline alliances: current status, policy issues, and future directions[J]. Journal of Air Transport Management, 1997, 3(3): 133-144.
[2]	OUM T H, PARK J H, ZHANG A. Globalization and strategic alliances:the case of the airline industry[M]. Oxford: Pergamon Press, 2000.
[3]	NMING ANMING. Competition models of strategic alliances [J]. Research in Transportation Economics, 2005, 13:75-100.
[4]	IATROU K, ALAMDARI F. The empirical analysis of the impact of alliances on airline operations[J]. Journal of Air Transport Management,2005, 11(3):127-134.
[5]	李实萍. 航空公司战略联盟与动态竞争对绩效的影响研究[D]. 广州: 华南理工大学, 2014.
[6]	潘小军, 陈宏民, 胥莉. 联盟航空公司合作程度选择分析[J].中国民航大学学报, 2006, 24(2):44-48.
[7]	胡皓月, 蔡碧金, 朱金福. 航空公司联盟合作伙伴评估与选择研究[J]. 航空计算技术, 2016, 46(2):42-46.
[8]	O’KELLY M. A quadratic integer problem for the location of interacting hub facilities[J]. European Journal of Operational Research, 1987,32 (3): 393-404.
[9]	ELHEDHLI F S, HU X. Hub-and-spoke network design with congestion[J]. Computers & Operations Research, 2005, 32: 1615-1632.
[10]	SHAHABI M, UNNIKRISHNAN A. Robust hub network design problem[J]. Transportation Research Part E, 2014, 70: 356-373.
[11]	葛伟, 朱金福, 吴薇薇, 等. 基于无容量限制的p-枢纽中位问题的随机优化[J]. 系统工程理论与实践, 2013, 33(10): 2674-2678.
[12]	ADLER N, SMILOWITZ K. Hub-and-spoke network alliancesand mergers:price-location competition in the airline industry [J]. Transportation Research Part B, 2007, 41(4): 394-409.
[13]	王苗苗. 联盟环境下航空公司航线网络优化研究[D]. 南京: 南京航空航天大学, 2016.
[14]	ALUMUR S A, NICKEL S, SALDANHA-DA-GAMA F. Hub location under uncertainty[J]. Transportation Research Part B, 2012, 46(4): 529-543.
[15]	ADIBI A, RAZMI J. 2-Stage stochastic programming approach for hub location problem under uncertainty: a case study of air network of Iran[J].Journal of Air Transport Management, 2015, 47: 172-178.
[16]	YANG T H, CHIU T Y. Airline hub-and-spoke system design under stochastic demand and hub congestion[J]. Journal of Industrial and Production Engineering, 2016, 33(2): 69-76.
[17]	ERNST A T, KRISHNAMOORTHY M. Shortest-path based lower bounding methods for p-hub median problems[J]. INFORMS Journal on Computing, 1998, 10: 149-162.
[18]	ADLER N, NJOYA E T, VOLTA N. The multi-airline p-hub median problem applied to the African aviation market[J]. Transportation Research Part A, 2018, 107: 187-202.