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

Gül İmamoğlu*, Y. Ilker Topcu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


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.

Original languageEnglish
Title of host publicationInternational Series in Operations Research and Management Science
Number of pages31
Publication statusPublished - 2022

Publication series

NameInternational Series in Operations Research and Management Science
ISSN (Print)0884-8289
ISSN (Electronic)2214-7934

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.


  • Analytic Network Process
  • Healthcare
  • Hospital Location Selection
  • Multi-Attribute Decision-Making


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