HOSPITAL LOCATION SELECTION WITH ARAS-G

Yıl 2017, Sayı: 1, 359 - 365, 09.11.2017

Halil Sen

Öz

The facility location selection is one of the most important decisions
for investors and entrepreneurs. It is a strategic issue besides often decides
the fate of such a facility. In this kind of strategic decisions, decision
makers should take into account various objectives and criteria and the process
of location selection is inherently complicated. Hospital location selection
problem is an important issue in terms of location selection problem. Hospital
location selection plays a vital role in the hospital construction and
management. From aspect of the government, appropriate hospital location
selection will help optimize the allocation of medical resources, matching the
provision of health care with the social and economic demands, coordinating the
urban and rural health service development, and easing social contradictions.
From aspect of the citizen, proper hospital location selection will improve
access to the health care, reduce the time of rescue, satisfy people’s medical
needs as well as enhance the quality of life. From the aspect of the investors
and operators of the hospital, optimum hospital location selection will
definitely be cost saving on capital strategy. This paper considers the
hospital location selection for a new public hospital by using an additive
ratio assessment method with gray values (ARAS-G). Analysis of the locations by
ARAS-G method allows determining value of locations' in compared with the
optimal location. As a result, the closest location to the optimal location was
selected using this method.

Anahtar Kelimeler

Location selection, multi criteria decision making, additive ratio assessment method, grey

Kaynakça

• Aydın, O. (2009). Hospital Location for Ankara with Fuzzy AHP. Dokuz Eylül University. Liu, S., & Forrest, J. Y. L. (2010). Grey systems: theory and applications. Springer. Schuurman, N., Fiedler, R. S., Grzybowski, S. C., & Grund, D. (2006). Defining rational hospital catchments for non-urban areas based on travel-time. International Journal of Health Geographics, 5(1), 43. Soltani, A., & Zargari Marandi, E. (2011). Hospital site selection using two-stage fuzzy multi-criteria decision making process. Journal of Urban and environmental engineering, 5(1). Tupenaite, L., Zavadskas, E. K., Kaklauskas, A., Turskis, Z., & Seniut, M. (2010). Multiple criteria assessment of alternatives for built and human environment renovation. Journal of Civil Engineering and Management, 16(2), 257-266. Turskis, Z., & Zavadskas, E. K. (2010). A novel method for multiple criteria analysis: grey additive ratio assessment (ARAS-G) method. Informatica, 21(4), 597-610. Vahidnia, M. H., Alesheikh, A. A., & Alimohammadi, A. (2009). Hospital site selection using fuzzy AHP and its derivatives. Journal of environmental management, 90(10), 3048-3056. Wu, C. R., Lin, C. T., & Chen, H. C. (2007). Optimal selection of location for Taiwanese hospitals to ensure a competitive advantage by using the analytic hierarchy process and sensitivity analysis. Building and environment, 42(3), 1431-1444. Zavadskas, E. K., & Turskis, Z. (2010). A new additive ratio assessment (ARAS) method in multicriteria decision making. Technological and Economic Development of Economy, 16(2), 159-172. Zavadskas, E. K., Turskis, Z., & Vilutiene, T. (2010). Multiple criteria analysis of foundation instalment alternatives by applying Additive Ratio Assessment (ARAS) method. Archives of civil and mechanical engineering, 10(3), 123-141. Zhou, L., & Wu, J. (2012). GIS-based multi-criteria analysis for hospital site selection in Haidian district of Beijing. Högskolan I Gävle.