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Analytic Hierarchy Process-Based Airport Ground Handling Equipment Purchase Decision Model

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  • Yu-Jwo Tao

    (Department of Shipping and Transportation Management, National Taiwan Ocean University, No. 2, Pei-Ning Road, Keelung City 202301, Taiwan)

  • Hsuan-Shih Lee

    (Department of Shipping and Transportation Management, National Taiwan Ocean University, No. 2, Pei-Ning Road, Keelung City 202301, Taiwan)

  • Chang-Shu Tu

    (Department of Information Management, Chang Gung University, No. 259, WenHwa 1st Road, KweiShan, Taoyuan City 33302, Taiwan)

Abstract

The Airport ground handling services (AGHS) equipment supplier provider selection requires a safety guarantee in terms of the daily operations AGHS provider. AGHS providers seek to avoid aircraft damage and airline delays and ensure the provision of reliable and high-quality services. The primary objective of this paper was to develop purchasing decision model of the analytic hierarchy process (AHP), AHP-fuzzy linear programming (FLP), and AHP-Taguchi loss function (TLF) multi-choice goal programming (MCGP) purchase decision models to help the AGHS purchasing managers in selecting the best AGHS equipment supplier provider. The constructed models were assessed, and results obtained for the AHP-FLP and AHP-TLF-MCGP models were compared. We conducted a real-world example of supplier selection by an AGHS company by using the proposed models. The proposed model provides useful information and has practical value for AGHS providers.

Suggested Citation

  • Yu-Jwo Tao & Hsuan-Shih Lee & Chang-Shu Tu, 2021. "Analytic Hierarchy Process-Based Airport Ground Handling Equipment Purchase Decision Model," Sustainability, MDPI, vol. 13(5), pages 1-16, February.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:5:p:2540-:d:506455
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    References listed on IDEAS

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    1. R. E. Bellman & L. A. Zadeh, 1970. "Decision-Making in a Fuzzy Environment," Management Science, INFORMS, vol. 17(4), pages 141-164, December.
    2. Fuhr Johannes & Beckers Thorsten, 2006. "Vertical Governance between Airlines and Airports - A Transaction Cost Analysis," Review of Network Economics, De Gruyter, vol. 5(4), pages 1-27, December.
    3. Schmidberger, Stephan & Bals, Lydia & Hartmann, Evi & Jahns, Christopher, 2009. "Ground handling services at European hub airports: Development of a performance measurement system for benchmarking," International Journal of Production Economics, Elsevier, vol. 117(1), pages 104-116, January.
    4. Amid, A. & Ghodsypour, S.H. & O'Brien, C., 2006. "Fuzzy multiobjective linear model for supplier selection in a supply chain," International Journal of Production Economics, Elsevier, vol. 104(2), pages 394-407, December.
    5. Zon-Yau Lee & Mei-Tai Chu & Yu-Ting Wang & Kuan-Ju Chen, 2020. "Industry Performance Appraisal Using Improved MCDM for Next Generation of Taiwan," Sustainability, MDPI, vol. 12(13), pages 1-18, June.
    6. Chien-Wen Shen & Yen-Ting Peng & Chang-Shu Tu, 2019. "Multi-Criteria Decision-Making Techniques for Solving the Airport Ground Handling Service Equipment Vendor Selection Problem," Sustainability, MDPI, vol. 11(12), pages 1-21, June.
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