2013

Bir Bölge Hastanesi için Bulanık TOPSIS Yöntemi ile Sağlık Hizmeti Tesis Yerleşimi Seçimi Problemi

Şirketler için en önemli kararlardan birisi olarak, tesis yerleşimi çok kriterli bir karar verme (ÇKKV) problemi olarak düşünülebilir. Fakat, tesis yerleşimi sadece şirketler için önemli değildir, aynı şekilde, sağlık hizmetindeki tesis yerleşimi kararları da çok önemlidir. Hatta, sağlık hizmeti tesislerinde insan hayatı söz konusu olduğu için, bu alandaki tesis yerleşimi kararları hayati derecede önemlidir. Diğer tesis yerleşimi problemlerinde olduğu gibi, sağlık hizmeti tesislerinin yerleşimi probleminde de dikkate alınması gereken kriterler vardır ve bu alandaki yöneticilerin bu kriterler altında alternatifleri değerlendirmesi gerekir. Bu süreç belirsizlikleri içerdiğinden dolayı, daha doğru sonuçlara ulaşmak için bu sürece bulanık mantığı ilave etmek uygun olacaktır. Bu doğrultuda, bu çalışmada, sağlık hizmeti tesis yerleşimi değerlendirmesi için çok kriterli bulanık bir yaklaşım sunulmuştur. Çalışma dahilinde, belirlenen kriterler çerçevesinde bulanık bir TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) yaklaşımı sunulmuştur ve önerilen yaklaşım Adana ilindeki bir bölge hastanesi yer seçimi vaka çalışması üzerinde uygulanmıştır. Elde edilen sonuçların, karar vericilere bu alandaki gelecekteki kararları için yararlı bir kaynak olması beklenmektedir.

A Healthcare Facility Location Selection Problem with Fuzzy TOPSIS Method for a Regional Hospital

As being a significant determination for companies, facility location can be regarded as a multi-criteria decision making (MCDM)problem. Nonetheless, facility location is not significant merely in companies, likewise, facility location decisions in healthcare aresignificant, as well. Furthermore, since human life is the point in healthcare facilities, facility location decisions in this field are vitallyimportant. As are in other facility location problems, there are multiple criteria to be taken into consideration in health care facilitylocation problems and managers in this area should evaluate alternatives under these criteria. Since this process includes uncertainties,it is suitable to integrate fuzzy logic to this process to obtain more accurate results. In line with this, in this study, a fuzzy approachwith multi criteria is presented with regard to the evaluation of healthcare facility location. Within the study, in the framework ofspecified criteria, a fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) approach is suggested and theproposed approach is performed at a case study for regional hospital location selection in Adana province. The acquired results areexpected to be a useful resource to the future decisions in this area for decision makers.

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Ahmadi-Javid, A., Seyedi, P., & Syam, S. S. (2017). A survey of healthcare facility location. Computers and Operations Research, 79, 223–263. https://doi.org/10.1016/j.cor.2016.05.018
Aiello, G., Enea, M., & Galante, G. (2006). A multi-objective approach to facility layout problem by genetic search algorithm and Electre method. Robotics and Computer-Integrated Manufacturing, 22(5–6), 447–455. https://doi.org/10.1016/j.rcim.2005.11.002
Akyüz, Y., Bozdoğan, T., & Hantekin, E. (2011). TOPSIS Yöntemiyle Finansal Performansın Değerlendirilmesi ve Bir Uygulama. Afyon Kocatepe University Journal of Economics and Administrative Sciences, 13(1), 73–92.
Alvarez-Guerra, M., Viguri, J. R., & Voulvoulis, N. (2009). A multicriteria-based methodology for site prioritisation in sediment management. Environment International, 35(6), 920–930. https://doi.org/10.1016/j.envint.2009.03.012
Amile, M., Sedaghat, M., & Poorhossein, M. (2013). Performance Evaluation of Banks using Fuzzy AHP and TOPSIS, Case study: State-owned Banks, Partially Private and Private Banks in Iran. Caspian Journal of Applied Sciences Research, 2(3), 128–138. Retrieved from https://www.researchgate.net/publication/280100441
Antmen, Z. F. (2012). Üçüncü Basamakj Yoğun Bakım Üniteleri Kapasite Planlama Problemi için Benzetim Modelleri ve Uygulamaları. Çukurova University, Institute of Natural and Applied Sciences, PhD Thesis, Adana.
Antmen, Z. F., & Miç, P. (2018). Selection of Mechanical Ventilator in Pediatric Intensive Care Unit by Multi- Criteria Decision Making and a Case Study. Çukurova University Journal of the Faculty of Engineering and Architecture, 33(4), 17–30.
Arslan, H. M., & Yıldız, M. S. (2015). Application of Fuzzy TOPSIS Method on Location Selection of Educational Facilities: A Location Analysis in Düzce. The Journal of International Social Research, 8(36), 763–773.
Avgelis, A., & Papadopoulos, A. M. (2009). Application of multicriteria analysis in designing HVAC systems. Energy and Buildings, 41(7), 774–780. https://doi.org/10.1016/j.enbuild.2009.02.011
Aydın, Ö., Öznehir, S., & Akçalı, E. (2009). Optimal Hospital Location Selection by Analytical Hierarchy Process. Suleyman Demirel University The Journal of Faculty of Economics and Administrative Sciences, 14(2), 69–86. Retrieved from https://docplayer.biz.tr/22754986-Optimal-hospital-location-selection-by-analytical-hierarchical-process.html
Bilich, F., & Da Silva, R. (2008). Valuation and Optimization of the Impact of Intellectual Capital on Organizational Performance. PORTUGUESE JOURNAL OF MANAGEMENT STUDIES, XIII(3), 341–359. Retrieved from https://ejms.iseg.ulisboa.pt/files/2008- Valuation_and_optimization_of_the_impact_of_intellectual_capital_on_organizational_performance.pdf
Brito, A. J., de Almeida, A. T., & Mota, C. M. M. (2010). A multicriteria model for risk sorting of natural gas pipelines based on ELECTRE TRI integrating Utility Theory. European Journal of Operational Research, 200(3), 812–821. https://doi.org/10.1016/j.ejor.2009.01.016
Calvo, A. B., & Marks, D. H. (1973). Location of health care facilities: An analytical approach. Socio-Economic Planning Sciences, 7(5), 407–422. https://doi.org/10.1016/0038-0121(73)90039-6
Chen, C.-T. (2000). Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets and Systems, 114(1), 1–9. https://doi.org/10.1016/S0165-0114(97)00377-1
Chen, C.-T., Lin, C.-T., & Huang, S.-F. (2006). A fuzzy approach for supplier evaluation and selection in supply chain management. International Journal of Production Economics, 102(2), 289–301. https://doi.org/10.1016/J.IJPE.2005.03.009
Datta, S. (2012). Multi-criteria multi-facility location in Niwai block, Rajasthan. IIMB Management Review, 24(1), 16–27. https://doi.org/10.1016/J.IIMB.2011.12.003
Gülsün, B., Tuzkaya, G., & Duman, C. (2011). Genetik Algoritmalar ile Tesis Yerleşimi Tasarımı ve Bir Uygulama. Doğuş Üniversitesi Dergisi, 10(1), 73–87.
Haji, E. EL, Azmani, A., & Harzli, M. El. (2017). Using AHP Method for Educational and Vocational Guidance. International Journal of Information Technology and Computer Science, 1, 9–17. https://doi.org/10.5815/ijitcs.2017.01.02
Hamid Afshari, Q. P. (2014). Challenges and Solutions for Location of Healthcare Facilities. Industrial Engineering & Management, 03(02), 1000127. https://doi.org/10.4172/2169-0316.1000127
Hwang, C.-L., & Yoon, K. (1981). Multiple Attribute Decision Making Methods and Applications A State-of-the-Art Survey. https://doi.org/10.1007/978-3-642-48318-9_1
İnce, Ö., Bedı̇ r, N., & Eren, T. (2016). Hospital Establishment Site Selection Problem with Modelling Analytic Hierarchy ProcessTuzla District Application. Gazi Üniversitesi Sağlık Bilimleri Dergisi, 1(3), 8–21. Retrieved from https://dergipark.org.tr/download/article-file/334540
Kelemenis, A., & Askounis, D. (2010). A new TOPSIS-based multi-criteria approach to personnel selection. Expert Systems with Applications, 37(7), 4999–5008. https://doi.org/10.1016/j.eswa.2009.12.013
Koyuncu, M., Araz, O. M., Zeger, W., & Damien, P. (2017). A simulation model for optimizing staffing in the emergency department. Springer Proceedings in Mathematics and Statistics, 210, 201–208. https://doi.org/10.1007/978-3-319-66146-9_18
Kumar, S., Kumar, S., & Gopal Barman, A. (2018). Supplier Selection Using Fuzzy TOPSIS Multi Criteria Model for a Small Scale Steel Manufacturing Unit. Proceida Computer Science, 133, 905–912. https://doi.org/10.1016/j.procs.2018.07.097
Li, X., Wang, K., Liuz, L., Xin, J., Yang, H., & Gao, C. (2011). Application of the entropy weight and TOPSIS method in safety evaluation of coal mines. Procedia Engineering, 26, 2085–2091. https://doi.org/10.1016/j.proeng.2011.11.2410
Miç, P., & Antmen, Z. F. (2018). Yoğun Bakım Ünitelerinde Ventilatör Kullanımının Literatür İncelemesi. In H. Akça, M. Eraslan, & M. F. Sansar (Eds.), 2nd International Congress on Multidisciplinary Studies (p. 1157). Adana, Turkey: Gece Kitaplığı.
Miç, P., Antmen, Z. F., & Erdurak, M. Ö. (2019). Öğrencilerin Seçmeli Ders Seçimi Problemine Çok Kriterli Karar Verme Yaklaşımı. In G. Başyiğit Kılıç, A. Çiftçi, & A. Yılmaz (Eds.), Mühendislik Alanında Araştırma ve Değerlendirmeler (p. 148). Ankara: Gece Akademi.
Montazer, G. A., Saremi, H. Q., & Ramezani, M. (2009). Design a new mixed expert decision aiding system using fuzzy ELECTRE III method for vendor selection. Expert Systems with Applications, 36(8), 10837–10847. https://doi.org/10.1016/j.eswa.2009.01.019
Ogulata, S. N., Koyuncu, M., & Karakas, E. (2008). Personnel and patient scheduling in the high demanded hospital services: A case study in the physiotherapy service. Journal of Medical Systems, 32(3), 221–228. https://doi.org/10.1007/s10916-007-9126-4
Ok, K., Okan, T., & Yilmaz, E. (2011). A comparative study on activity selection with multicriteria decision-making techniques in ecotourism planning. Scientific Research and Essays, 6(6), 1417–1427. Retrieved from https://www.scopus.com/inward/record.uri?eid=2-s2.0- 79957650870&partnerID=40& md5=f95b850984434c7a67598f4901162a2e
Şenel, B., Şenel, M., & Aydemir, G. (2017). Multi Criteria Decision Making Method TOPSIS with Personnel Selection. International Refereed Journal of Researches on Economy Management, 13, 19–70. https://doi.org/10.17373/UHEYAD.2017.3.3
Shahroudi, K., & Tonekaboni, S. M. S. (2012). Application of TOPSIS Method to Supplier Selection in Iran Auto Supply Chain. Journal of Global Strategic Management, 6(2), 123–131. https://doi.org/10.20460/JGSM.2012615779
Turkish Statistical Institute. (2019). Retrieved June 25, 2019, from http://www.tuik.gov.tr/UstMenu.do?metod=temelist
Uslu, A., Kızıloğlu, K., İşleyen, S. K., & Kahya, E. (2017). Geographic information system-based AHP-TOPSIS approach for school site selection: A case study for Ankara. Journal of Polytechnic, 20(4), 933–943. https://doi.org/10.2339/politeknik.369099
Vafaei, N. (2014). Selecting the Field Hospital Location for Disasters: a Case Study in Istanbul. Istanbul Technical University. Retrieved from https://polen.itu.edu.tr/bitstream/11527/15108/1/10047743.pdf
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. https://doi.org/10.1016/j.jenvman.2009.04.010
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. https://doi.org/10.1016/j.buildenv.2005.12.016
Yüksel, M. (2013). Determination of Teaching Methods in Chemistry Education by the Analytic Hierarchy Process (AHP). Necatibey Faculty of Education Electronic Journal of Science and Mathematics Education, 7(1), 302–332. https://doi.org/10.12973/nefmed163
Zadeh, L. A. (1965). Fuzzy Sets. Information and Control, 8, 338–353.