Identification and Prioritization of Optimal Places for locating urban hospitals by Combining the F-ANP, F-WASPAS methods, and GIS output in the ArcGIS Environment: Case Study: Arak City

Subject Areas : Applied Mathematics Modeling

Mahya Saghari ¹ , Mohammad Ehsanifar ² , Arezoo Babaei ³

1 - Master of Industrial Engineering- Islamic Azad University- Arak- Iran
2 - Department of Industrial Engineering, IAU Arak
3 - Doctorate of Business Administration- IMI- Markazi Province- Arak- Iran

Received: 2022-03-04 Accepted : 2021-12-13 Published : 2020-12-01

Keywords: GIS, WASPAS, Hospital, fuzzy logic, ANP,

Abstract :

Health-medical facilities are among the applications that, if incorrectly located, in addition to the economic and financial necessities that come with it, may lead to irreparable loss of life. Geographical location is a critical component of access to medical services. Therefore, the significance of the optimal and convenient location of this type of usage is multiplied. This study aimed to determine the hospital’s optimal locations and provide easy access, better service, customer and patient satisfaction, and public welfare to all segments of society in Iran, the Markazi province, and Arak city. For this purpose, a combination of Geographic Information System (GIS) output and integrated Analytic Network Process-Weighted Aggregated Sum Product Assessment (ANP-WASPAS) model in a fuzzy environment was used. First, effective criteria for locating the hospital were selected based on the literature, national standards and regulations, expert opinion, and the location and geographical conditions of the area. The criteria were then weighted by experts using the Fuzzy ANP (F-ANP) method. Then, according to the criteria and final weights, the desired maps were created in the ArcGIS software environment. The results were then combined using fie fuzzy operators. As a result, optimal and suitable locations for the hospital were introduced. Finally, using the Fuzzy WASPAS (F-WASPAS) method, the identified locations were prioritized.

References:

• Ziari, Y. and R. Khodadadi, Locating Semnan's hygienic and health potential places using AHP method in GIS environment centers. Environmental Based Territoral Planning (AMAYESH), 2013. 6: p. 177-193.


• Taghvai, M. and D. Azizi, Planning and management urban crisis by emphasising on the facilities, services and site selection of health centers. Isfahan: Kankash Publication, 2009.


• Dunne, G., How is the hospital organization and how it works. 3 ed. 2018, Tehran: Jahad University Press, University of Medical Sciences, Islamic Republic of Iran Army.


• Hare, T.S. and H.R. Barcus, Geographical accessibility and Kentucky's heart-related hospital services. Applied Geography, 2007. 27(3-4): p. 181-205.


• Raazani, A. and A. Asgari, Urban land use Planning, Using what-if Planning Support System (case-study: Dorud city). Urban management, 2008. 6(20): p. 76-85.


• Mesgari, M., M. Teymori, and H. Shorvarzi, Hospitals Site Selection using Fuzzy GIS. Bimonthly Shhrngar, 2011. 12(54): p. 30-40.


• Mohammadi, J., H. Poorghayoomi, and M. Ghanbari, Spatial Analysis and Site Selection fueling stations in Kazeroon. Research and Urban Planning, 2016. 7(24): p. 105-120.


• Drezner, Z., et al., The weber problem. Facility location: Applications and theory, 2002: p. 1-36.


• Rezaeisabzevar, Y., A. Bazargan, and B. Zohourian, Landfill site selection using multi criteria decision making: focus on influential factors for comparing locations. Journal of Environmental Sciences, 2020. 93: p. 170-184.


• Fan, J., et al., Optimal selection of design scheme in cloud environment: A novel hybrid approach of multi-criteria decision-making based on F-ANP and F-QFD. Journal of Intelligent & Fuzzy Systems, 2020. 38(3): p. 3371-3388.


• Hossein Zadeh, N., et al., Suitable location city hospitals through the hierarchical modulation method (AHP) and model (Fuzzy) in GIS (Case Study: Region 19 of Tehran). . GIS and RS Application in Planning, 2017. 8(4): p. 21-38.


• Shariff, S.R., N.H. Moin, and M. Omar, Location allocation modeling for healthcare facility planning in Malaysia. Computers & Industrial Engineering, 2012. 62(4): p. 1000-1010.


• Reisi, M., A. Afzali, and L. Aye, Applications of analytical hierarchy process (AHP) and analytical network process (ANP) for industrial site selections in Isfahan, Iran. Environmental earth sciences, 2018. 77(14): p. 1-13.


• Dinan, N.M., M. Keshtkar, and Z. Mokhtari, Site selection of a waste incineration plant using integrated fuzzy-ANP and weighted sum-ANP in Qazvin Province, Iran. International Journal of Environment and Waste Management, 2020. 25(3): p. 381-394.


• Veysi Nab, F., et al., Locating hospitals using weighted linear combination model in GIS environment in Ardabil City. Journal of Health, 2015. 6(1): p. 43-56.


• Rezayee, M., Hospital Site Selection in Iskandar Malaysia using GIS-Multi Criteria Analysis. International Journal of Basic Sciences and Applied Computing (IJBSAC), 2020. 10(2).


• Danesh, G., et al., Compilation of a model for hazardous waste disposal site selection using GIS-based multi-purpose decision-making models. Environmental monitoring and assessment, 2019. 191(2): p. 1-14.


• Barzehkar, M., et al., Landfill site selection using GIS-based multi-criteria evaluation (case study: SaharKhiz Region located in Gilan Province in Iran). SN Applied Sciences, 2019. 1(9): p. 1-11.


• Parsa Moghadam, M., et al., Optimal site selection of urban hospitals using GIS software in Ardabil City. Journal of Ardabil University of Medical Sciences, 2017. 16(4): p. 374-388.


• Mitropoulos, P., I. Mitropoulos, and I. Giannikos, Combining DEA with location analysis for the effective consolidation of services in the health sector. Computers & Operations Research, 2013. 40(9): p. 2241-2250.


• Badalpur, M. and E. Nurbakhsh, An application of WASPAS method in risk qualitative analysis: a case study of a road construction project in Iran. International Journal of Construction Management, 2019: p. 1-9.


• Bagočius, V., K.E. Zavadskas, and Z. Turskis, Multi-criteria selection of a deep-water port in Klaipeda. Procedia Engineering, 2013. 57: p. 144-148.


• Turskis, Z., et al., A hybrid model based on fuzzy AHP and fuzzy WASPAS for construction site selection. International Journal of Computers communications & control, 2015. 10(6): p. 113-128.


• Pourtaheri, M., et al., Explanation of the Advantages of Using WASPAS Technique on the Positioning of Tourism-Target Villages (Case Study of Tourism Targeted Villages of Lorestan Province). Space Planning and Planning, 2016. 20(2): p. 114-137.


• Izadikhah, M., Deriving Weights of Criteria from Inconsistent Fuzzy Comparison Matrices by Using the Nearest Weighted Interval Approximation. Advances in Operations Research, 2012. 2012: p. 574710.


• Izadikhah, M., A fuzzy goal programming based procedure for Machine Tool Selection. Journal of Intelligent & Fuzzy Systems, 2015. 28(1): p. 361-372.


• Izadikhah, M., Z. Aliakbarpoor, and H. Sharafi, Ranking DMUs by ideal points in the presence of fuzzy and ordinal data. Theory of Approximation and Applications, 2015. 9(2): p. 13-36.


• Izadikhah, M., R. Roostaee, and A. Emrouznejad, Fuzzy Data Envelopment Analysis with Ordinal and Interval Data. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2021. 29(03): p. 385-410.


• Izadikhah, M., et al., Sustainably resilient supply chains evaluation in public transport: A fuzzy chance-constrained two-stage DEA approach. Applied Soft Computing, 2021. 113: p. 107879.


• Izadikhah, M., A fuzzy stochastic slacks-based data envelopment analysis model with application to healthcare efficiency. Healthcare Analytics, 2022. 2: p. 100038.


• Ehsanifar, M. and F. Hossein Zadeh Lotfi, Utility of Ranking Warehouse Candidates in Workshop Locations Using UTAStar. Journal of New Researches in Mathematics, 2018. 3(12): p. 5-14.


• Leung, L.C. and D. Cao, On consistency and ranking of alternatives in fuzzy AHP. European journal of operational research, 2000. 124(1): p. 102-113.


• Büyüközkan, G. and G. Çifçi, A novel hybrid MCDM approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy TOPSIS to evaluate green suppliers. Expert Systems with Applications, 2012. 39(3): p. 3000-3011.


• García-Melón, M., et al., Farmland appraisal based on the analytic network process. Journal of Global Optimization, 2008. 42(2): p. 143-155.


• Nejati, M., Ranking of companies participating in the tenders of Imam Khomeini Oil Refining Company Shazand using multi-objective decision-making techniques (MODM), in Faculty of Engineering-Department of Industrial Engineering. 2018, Islamic Azad University, Arak Branc.


• Ayağ, Z. and R.G. Özdemir, Evaluating machine tool alternatives through modified TOPSIS and alpha-cut based fuzzy ANP. International Journal of Production Economics, 2012. 140(2): p. 630-636.


• Zavadskas, E.K., et al., Optimization of weighted aggregated sum product assessment. Elektronika ir elektrotechnika, 2012. 122(6): p. 3-6.


• MacCrimmon, K.R., Decisionmaking among multiple-attribute alternatives: a survey and consolidated approach. 1968, Rand Corp Santa Monica Ca.


• Easton, A., One-of-a-kind decisions involving weighted multiple objectives and disparate alternatives. Multiple criteria decision making, 1973: p. 657-667.


• Alvand, A., et al., Identification and assessment of risk in construction projects using the integrated FMEA-SWARA-WASPAS model under fuzzy environment: a case study of a construction project in Iran. International journal of construction management, 2021: p. 1-23.