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Measuring the efficiency of hospitals: a fully-ranking DEA–FAHP approach

Author

Listed:
  • Babak Daneshvar Rouyendegh

    (Atilim University
    Auburn University)

  • Asil Oztekin

    (University of Massachusetts Lowell)

  • Joseph Ekong

    (Auburn University)

  • Ali Dag

    (University of South Dakota)

Abstract

The goal of this study is to present a DEA-based fuzzy multi-criteria decision making model for firms in the health care industry in order to enhance their business performance. The study demonstrates a real-life use of the proposed model, mainly designed for hospitals. Data envelopment analysis enhanced with fuzzy analytic hierarchy process are collectively utilized to quantify the data and structure the model in decision-making. The juxtaposition of the two methods is used to compile a ranked list of multiple proxies containing diverse input and output variables which occur in two stages. This hybrid model provides several benefits, one of which is the ability to make the most appropriate decision considering the value of the weights determined by the data from the hybrid model.

Suggested Citation

  • Babak Daneshvar Rouyendegh & Asil Oztekin & Joseph Ekong & Ali Dag, 2019. "Measuring the efficiency of hospitals: a fully-ranking DEA–FAHP approach," Annals of Operations Research, Springer, vol. 278(1), pages 361-378, July.
    • Handle: RePEc:spr:annopr:v:278:y:2019:i:1:d:10.1007_s10479-016-2330-1
    DOI: 10.1007/s10479-016-2330-1
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    4. Ramkrishna S. Bharsakade & Padmanava Acharya & L. Ganapathy & Manoj K. Tiwari, 2021. "A lean approach to healthcare management using multi criteria decision making," OPSEARCH, Springer;Operational Research Society of India, vol. 58(3), pages 610-635, September.
    5. Pourmahmoud, Jafar & Bagheri, Narges, 2023. "Uncertain Malmquist productivity index: An application to evaluate healthcare systems during COVID-19 pandemic," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    6. Pengyue Wu & Jing Ma & Xiaoyu Guo, 2022. "Efficiency evaluation and influencing factors analysis of fiscal and taxation policies: A method combining DEA-AHP and CD function," Annals of Operations Research, Springer, vol. 309(1), pages 325-345, February.
    7. Jorge Antunes & Abdollah Hadi-Vencheh & Ali Jamshidi & Yong Tan & Peter Wanke, 2022. "Bank efficiency estimation in China: DEA-RENNA approach," Annals of Operations Research, Springer, vol. 315(2), pages 1373-1398, August.

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