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Integrating Fuzzy AHP and TOPSIS Methods to Evaluate Operation Efficiency of Daycare Centers

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  • Chia-Nan Wang

    (Department of Industrial Engineering and Management, National Kaohsiung University of Science and Technology, Kaohsiung 80778, Taiwan)

  • Chao-Fen Pan

    (Department of Industrial Engineering and Management, National Kaohsiung University of Science and Technology, Kaohsiung 80778, Taiwan)

  • Hoang-Phu Nguyen

    (Department of Industrial Engineering and Management, National Kaohsiung University of Science and Technology, Kaohsiung 80778, Taiwan
    School of Business, Ho Chi Minh International University, Ho Chi Minh 70000, Vietnam
    School of Business, HCM Vietnam National University, Ho Chi Minh 70000, Vietnam)

  • Pei-Chun Fang

    (Department of Industrial Engineering and Management, National Kaohsiung University of Science and Technology, Kaohsiung 80778, Taiwan)

Abstract

As the population ages and families become less able to offer care, the need for long-term care among older people increases. Evaluation of daycare centers, which provide localized long-term care services, is essential for the growth and direction of these institutions. Nevertheless, the present evaluation indexes do not adequately emphasize the significance of each index item or the actual effectiveness of an organization’s operations and management. To solve this issue, the purpose of this research was to develop an evaluation model for the operation and administration of daycare centers. Experts were consulted to collect pertinent criteria, which were further assessed using the Fuzzy Analytic Hierarchy Process (FAHP) and the Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS) techniques. The results indicated that organizational operation management was the top priority, with administrative operation management and service quality management having the largest impact on productivity. Among the 10 daycare services tested, Institution 3 was judged to have the highest score. These findings shed light on the operational management effectiveness of daycare centers and give a novel evaluation methodology for gauging the efficacy of nursing management.

Suggested Citation

  • Chia-Nan Wang & Chao-Fen Pan & Hoang-Phu Nguyen & Pei-Chun Fang, 2023. "Integrating Fuzzy AHP and TOPSIS Methods to Evaluate Operation Efficiency of Daycare Centers," Mathematics, MDPI, vol. 11(8), pages 1-16, April.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:8:p:1793-:d:1119371
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    References listed on IDEAS

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    6. Jagannath Roy & Haresh Kumar Sharma & Samarjit Kar & Edmundas Kazimieras Zavadskas & Jonas Saparauskas, 2019. "An extended COPRAS model for multi-criteria decision-making problems and its application in web-based hotel evaluation and selection," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 32(1), pages 219-253, January.
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    Cited by:

    1. Alin Opreana & Simona Vinerean & Diana Marieta Mihaiu & Liliana Barbu & Radu-Alexandru Șerban, 2023. "Fuzzy Analytic Network Process with Principal Component Analysis to Establish a Bank Performance Model under the Assumption of Country Risk," Mathematics, MDPI, vol. 11(14), pages 1-38, July.
    2. Anas A. Makki & Reda M. S. Abdulaal, 2023. "A Hybrid MCDM Approach Based on Fuzzy MEREC-G and Fuzzy RATMI," Mathematics, MDPI, vol. 11(17), pages 1-19, September.

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