Industrial Engineering Journal ›› 2018, Vol. 21 ›› Issue (4): 75-84.doi: 10.3969/j.issn.1007-7375.2018.04.010

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A Shapley Value Revenue Distribution Model Considering Risk Factors of Aviation Strategic Alliance

CONG Xiaoni, XIAO Yao, LI Shiping   

  1. School of Business Administration, South China University of Technology, Guangzhou 510640, China
  • Received:2017-12-29 Online:2018-08-30 Published:2018-08-27

Abstract: Airline strategic alliance has become an important way of cooperation between international airlines, and has a positive impact on airline cost reduction, revenue increase and market expansion. When airlines join the alliance, how to allocate profits reasonably after cooperation will have an important impact on airline performance and the stability of airline alliances. For this purpose, a decision-making model is built aiming at maximizing the revenue. The optimal pricing and flight frequency of two models under centralized decision and decentralized decision are respectively discussed with the revenue of airline and airline alliance under optimal decision. On this basis, through fuzzy comprehensive evaluation, the risk of airline alliance is considered, combined with the Shapley value method of risk, the fair and reasonable distribution of the maximum profit of the alliance is allocated, and a revenue allocation solution is provided to the airline company. Finally, combined with the actual situation of China Southern Airlines, the revenue allocation model is used to formulate the revenue allocation plan for the strategic alliance of South China Airlines.

Key words: airline strategic alliance, risk factors, revenue allocation, Shapley value

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