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Measuring air routes performance using a fractional network data envelopment analysis model

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  • Ming-Miin Yu
  • Po-Chi Chen

Abstract

This paper aims to propose a unified framework of data envelopment analysis (DEA) model so as to facilitate legitimate comparisons of performance among the production and service processes as well as overall operations. The fractional measure network DEA (FNDEA) model is constructed by analytically stratifying the structure of an operational network according to the transport service characteristics of air routes. We compare the proposed model with separate multi-stage DEA evaluation results by using an actual data set from the domestic air routes of an airline in Taiwan. The results show that the FNDEA model is significantly different from the separate multi-stage DEA model in magnitude of performance scores. Managerial strategies for the improvement of performance for the airline are also suggested. Copyright Springer-Verlag 2011

Suggested Citation

  • Ming-Miin Yu & Po-Chi Chen, 2011. "Measuring air routes performance using a fractional network data envelopment analysis model," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 19(1), pages 81-98, March.
    • Handle: RePEc:spr:cejnor:v:19:y:2011:i:1:p:81-98
    DOI: 10.1007/s10100-009-0131-1
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    References listed on IDEAS

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    Cited by:

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    2. Adel Hatami-Marbini & Saber Saati & Seyed Mojtaba Sajadi, 2018. "Efficiency analysis in two-stage structures using fuzzy data envelopment analysis," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 26(4), pages 909-932, December.
    3. Kao, Chiang, 2014. "Efficiency decomposition for general multi-stage systems in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 232(1), pages 117-124.
    4. Liu, Dan & Zhang, Jiahuang & Yu, Ming-Miin, 2023. "Decomposing airline profit inefficiency in NDEA through the non-competitive Nerlovian profit inefficiency model," Journal of Air Transport Management, Elsevier, vol. 107(C).
    5. Markéta Matulová & Hana Fitzová, 2018. "Transformation of urban public transport financing and its effect on operators’ efficiency: evidence from the Czech Republic," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 26(4), pages 967-983, December.
    6. Yu, Ming-Miin & Chen, Li-Hsueh, 2023. "Productivity change of airlines: A global total factor productivity index with network structure," Journal of Air Transport Management, Elsevier, vol. 109(C).
    7. Congcong Yang & Alfred Taudes & Guozhi Dong, 2017. "Efficiency analysis of European Freight Villages: three peers for benchmarking," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 25(1), pages 91-122, March.
    8. Yu, Ming-Miin & Chen, Li-Hsueh & Chiang, Hui, 2017. "The effects of alliances and size on airlines’ dynamic operational performance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 197-214.

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