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A Multi-Attribute Decision-Making Model for Hospital Location Selection

In: New Perspectives in Operations Research and Management Science

Author

Listed:
  • Gül İmamoğlu

    (Karadeniz Technical University)

  • Y. Ilker Topcu

    (Istanbul Technical University)

Abstract

The demand for the healthcare sector is increasing day by day due to the population growth, the prolongation of the average human life, changing eating habits, and the rapid spread of epidemics such as COVID-19 in large areas. New hospitals are being built in Turkey, as in other countries, to meet the increase in demand in the health sector and reach high health standards. Therefore, the selection of hospital location arises as a vital decision problem. In the case of an incorrect hospital location, loss of life can occur, as well as a significant financial burden. For this reason, decision makers should handle hospital location selection with analytical and rational methods. For this purpose, in this study, a hybrid Multi-Attribute Decision-Making model, in which the importance of the attributes is determined using the Analytic Network Process method, and evaluating the alternatives is carried out by the PROMETHEE method was proposed. As a case study, the proposed model was utilized to select a suitable location for a new hospital in Trabzon, Turkey.

Suggested Citation

  • Gül İmamoğlu & Y. Ilker Topcu, 2022. "A Multi-Attribute Decision-Making Model for Hospital Location Selection," International Series in Operations Research & Management Science, in: Y. Ilker Topcu & Şule Önsel Ekici & Özgür Kabak & Emel Aktas & Özay Özaydın (ed.), New Perspectives in Operations Research and Management Science, pages 423-453, Springer.
    • Handle: RePEc:spr:isochp:978-3-030-91851-4_16
    DOI: 10.1007/978-3-030-91851-4_16
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