A hybrid ANP model in fuzzy environments for strategic alliance partner selection in the airline industry

Authors:
James J. H. Liou;Gwo-Hshiung Tzeng;Chieh-Yuan Tsai;Chao-Che Hsu
Affiliations:
Department of Industrial Engineering and Management, National Taipei University of Technology, No. 1, Section 3, Chung-Hsiao East Road, Taipei 106, Taiwan;School of Commerce, Kainan University, No. 1, Kainan Road, Luchu, Taoyuan 338, Taiwan and Institute of Management of Technology, National Chiao Tung University, 1001 Ta-Hsueh Road, Hsinchu 300, Ta ...;Department of Industrial Engineering and Management, Yuan Ze University, No. 135, Yuantung Road, Chungli City, Taoyuan County 320, Taiwan;Department of Transportation Management, Tamkang University, 151 Ying-Chuan Rd., Tamsui, Taipei 251, Taiwan
Venue:
Applied Soft Computing
Year:
2011

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Abstract

Strategic airline alliances are an increasingly common strategy for enhancing airline competitiveness and satisfying customer needs, especially in an era characterized by blurring industry boundaries, fast-changing technologies, and global integration. Airlines have been very active in utilizing this form of strategic development. However, the selection of a suitable partner for a strategic alliance is not an easy decision, involving a host of complex considerations by different departments. Furthermore the decision-makers may hold diverse opinions and preferences arising due to incomplete information and knowledge or inherent conflict between various departments. In this study fuzzy preference programming and the analytic network process (ANP) are combined to form a model for the selection of partners for strategic alliances. The effects of uncertainty and disagreement between decision-makers as well as the interdependency and feedback that arise from the use of different criteria and alternatives are also addressed. This generic model can be easily extended to fulfill the specific needs of a variety of companies.