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A Selection Model to Logistic Centers Based on TOPSIS and MCGP Methods: The Case of Airline Industry

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  • Kou-Huang Chen
  • Chin-Nung Liao
  • Li-Chun Wu

Abstract

The location selection of a logistics center is a crucial decision relating to cost and benefit analysis in airline industry. However, it is difficult to be solved because there are many conflicting and multiple objectives in location problems. To solve the problem, this paper integrates fuzzy technique for order preference by similarity to an ideal solution (TOPSIS) and multichoice goal programming (MCGP) to obtain an appropriate logistics center from many alternative locations for airline industry. The proposed method in this paper will offer the decision makers (DMs) to set multiple aspiration levels for the decision criteria. A numerical example of application is also presented.

Suggested Citation

  • Kou-Huang Chen & Chin-Nung Liao & Li-Chun Wu, 2014. "A Selection Model to Logistic Centers Based on TOPSIS and MCGP Methods: The Case of Airline Industry," Journal of Applied Mathematics, Hindawi, vol. 2014, pages 1-10, July.
    • Handle: RePEc:hin:jnljam:470128
    DOI: 10.1155/2014/470128
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    Cited by:

    1. Pajones, Markus & Pfoser, Sarah, 2018. "Supporting the selection of sustainable logistics locations," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Jahn, Carlos & Kersten, Wolfgang & Ringle, Christian M. (ed.), Logistics 4.0 and Sustainable Supply Chain Management: Innovative Solutions for Logistics and Sustainable Supply Chain Management in the Context of In, volume 26, pages 169-182, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    2. Malk Almalki & Mohammed Alkahtani, 2022. "Allocation of Regional Logistics Hubs and Assessing Their Contribution to Saudi Arabia’s Logistics Performance Index Ranking," Sustainability, MDPI, vol. 14(12), pages 1-27, June.
    3. Xinman Zhu & Jie Dai & Haoran Wei & Debing Yang & Weilun Huang & Zhang Yu & Jorge E. Macias-Diaz, 2021. "Application of the Fuzzy Optimal Model in the Selection of the Startup Hub," Discrete Dynamics in Nature and Society, Hindawi, vol. 2021, pages 1-9, February.
    4. Amirhossein Baghestani & Mohammadhossein Abbasi & Saeed Rastegar & Amir Reza Mamdoohi & Atoosa Afaghpoor & Mahmoud Saffarzadeh, 2023. "Logistics Village Location with Capacity Planning Problem, an MILP Model Approach," Sustainability, MDPI, vol. 15(5), pages 1-14, March.
    5. Huang, Weilun & Zhang, Qi, 2020. "Selecting the optimal economic crop in minority regions with the criteria about soil and water conservation," Agricultural Water Management, Elsevier, vol. 241(C).
    6. Aljohani, Khalid & Thompson, Russell G., 2020. "A multi-criteria spatial evaluation framework to optimise the siting of freight consolidation facilities in inner-city areas," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 51-69.

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