Resolving a location selection problem by means of an integrated AHP-RAFSI approach

Authors

  • Abdulaziz Alosta Civil engineering department, Faculty of Engineering, Misurata University, Libya
  • Omar Elmansuri Civil engineering department, Faculty of Engineering, Misurata University, Libya
  • Ibrahim Badi Mechanical engineering department, Libyan Academy, Libya

DOI:

https://doi.org/10.31181/rme200102135a

Keywords:

Planning; Location; MCDM; Site selection

Abstract

The development of emergency medical service (EMS) system has been a growing focus for most health authorities across the world. It is generally thought that patient survival is the ultimate goal for EMS, which has been attributed to giving medical assistance in a time-efficient manner. The main aim of this paper is to optimize the best location of EMS centers in Libya. A multi-criteria decision making approach was implemented in two steps. Analytical hierarchy process (AHP) was adopted in the first step to determine the criteria weights. Results of AHP showed that response time had the highest weight among other criteria. Ranking of different alternatives was conducted in the second step using RAFSI model to choose the optimal location of EMS centers. Model ranking clearly indicated road-network as the best alternative to locate EMS centers.

References

Abd El Karim, A., & Awawdeh, M. M. (2020). Integrating GIS Accessibility and Location-Allocation Models with Multicriteria Decision Analysis for Evaluating Quality of Life in Buraidah City, KSA. Sustainability, 12(4), 1412.

Abdel-Basset, M., Gamal, A., Chakrabortty, R. K., & Ryan, M. (2021). A new hybrid multi-criteria decision-making approach for location selection of sustainable offshore wind energy stations: A case study. Journal of Cleaner Production, 280, 124462.

Abdelkarim, A. (2019). Integration of Location-Allocation and Accessibility Models in GIS to Improve Urban Planning for Health Services in Al-Madinah Al-Munawwarah, Saudi Arabia. Journal of Geographic Information System, 11(06), 633.

Abdullah, L., Adawiyah, C., & Kamal, C. (2018). A decision making method based on interval type-2 fuzzy sets: an approach for ambulance location preference. Applied computing and informatics, 14(1), 65-72.

Aringhieri, R., Bruni, M. E., Khodaparasti, S., & van Essen, J. T. (2017). Emergency medical services and beyond: Addressing new challenges through a wide literature review. Computers & Operations Research, 78, 349-368.

Badi, I., & Abdulshahed, A. (2019). Ranking the Libyan airlines by using full consistency method (FUCOM) and analytical hierarchy process (AHP). Operational Research in Engineering Sciences: Theory and Applications, 2(1), 1-14.

Badi, I., & Ballem, M. (2018). Supplier selection using the rough BWM-MAIRCA model: A case study in pharmaceutical supplying in Libya. Decision Making: Applications in Management and Engineering, 1(2), 16-33.

Badi, I., & Kridish, M. (2020). Landfill site selection using a novel FUCOM-CODAS model: A case study in Libya. Scientific African, 9, e00537.

Badi, I., & Pamucar, D. (2020). Supplier selection for steelmaking company by using combined Grey-MARCOS methods. Decision Making: Applications in Management and Engineering, 3(2), 37-48.

Badi, I., Pamucar, D., Gigović, L., & Tatomirović, S. (2021). Optimal site selection for sitting a solar park using a novel GIS-SWA’TEL model: A case study in Libya. International Journal of Green Energy, 18(4), 336-350.

Bhandari, D., & Yadav, N. K. (2020). Developing an integrated emergency medical services in a low-income country like Nepal: a concept paper. International journal of emergency medicine, 13(1), 1-5.

Blagojević, A., Vesković, S., Kasalica, S., Gojić, A., & Allamani, A. (2020). The application of the fuzzy AHP and DEA for measuring the efficiency of freight transport railway undertakings. Operational Research in Engineering Sciences: Theory and Applications, 3(2), 1-23.

Campanella, G., & Ribeiro, R. A. (2011). A framework for dynamic multiple-criteria decision making. Decision Support Systems, 52(1), 52-60.

Elmansouri, O., Almhroog, A., & Badi, I. (2020). Urban transportation in Libya: An overview. Transportation Research Interdisciplinary Perspectives, 8, 100161.

Eshtaiwi, M., Badi, I., Abdulshahed, A., & Erkan, T. E. (2018). Determination of key performance indicators for measuring airport success: A case study in Libya. Journal of Air Transport Management, 68, 28-34.

Forster, G., Simfukwe, V., & Barber, C. (2009). Use of intermediate modes of transport for patient transport: a literature review contrasted with the findings of the Transaid Bicycle Ambulance Project in Eastern Zambia. Publ Transaid LondonUnited Kingd.

Gendreau, M., Laporte, G., & Semet, F. (1997). Solving an ambulance location model by tabu search. Location science, 5(2), 75-88.

Ghosh, A., & Craig, C. S. (1984). A location allocation model for facility planning in a competitive environment. Geographical analysis, 16(1), 39-51.

Jamison, D. T., Breman, J. G., Measham, A. R., Alleyne, G., Claeson, M., Evans, D. B., . . . Musgrove, P. (2006). Disease control priorities in developing countries: The World Bank.

Kironji, A. G., Hodkinson, P., De Ramirez, S. S., Anest, T., Wallis, L., Razzak, J., . . . Hansoti, B. (2018). Identifying barriers for out of hospital emergency care in low and low-middle income countries: a systematic review. BMC health services research, 18(1), 1-20.

Mock, C. N., Jurkovich, G. J., Arreola-Risa, C., & Maier, R. V. (1998). Trauma mortality patterns in three nations at different economic levels: implications for global trauma system development. Journal of Trauma and Acute Care Surgery, 44(5), 804-814.

Pamučar, D., Badi, I., Sanja, K., & Obradović, R. (2018). A novel approach for the selection of power-generation technology using a linguistic neutrosophic CODAS method: A case study in Libya. Energies, 11(9), 2489.

Pamučar, D., Lukovac, V., Božanić, D., & Komazec, N. (2018). Multi-criteria FUCOM-MAIRCA model for the evaluation of level crossings: case study in the Republic of Serbia. Operational Research in Engineering Sciences: Theory and Applications, 1(1), 108-129.

Popovic, G., Stanujkic, D., Brzakovic, M., & Karabasevic, D. (2019). A multiple-criteria decision-making model for the selection of a hotel location. Land use policy, 84, 49-58.

Radović, D., Stević, Ž., Pamučar, D., Zavadskas, E., Badi, I., Antuchevičiene, J., & Turskis, Z. (2018). Measuring performance in transportation companies in developing countries: a novel rough ARAS model. Symmetry, 10(10), 434.

Rahman, S.-u., & Smith, D. K. (2000). Use of location-allocation models in health service development planning in developing nations. European journal of operational research, 123(3), 437-452.

Razzak, J. A., & Kellermann, A. L. (2002). Emergency medical care in developing countries: is it worthwhile? Bulletin of the World Health Organization, 80, 900-905.

Ren, X., Zhang, H., Hu, R., & Qiu, Y. (2019). Location of electric vehicle charging stations: A perspective using the grey decision-making model. Energy, 173, 548-553.

Rezaeisabzevar, Y., Bazargan, A., & Zohourian, B. (2020). Landfill site selection using multi criteria decision making: focus on influential factors for comparing locations. Journal of Environmental Sciences.

Sariyer, G., Ataman, M. G., Akay, S., Sofuoglu, T., & Sofuoglu, Z. (2017). An analysis of Emergency Medical Services demand: Time of day, day of the week, and location in the city. Turkish journal of emergency medicine, 17(2), 42-47.

Schmid, V., & Doerner, K. F. (2010). Ambulance location and relocation problems with time-dependent travel times. European journal of operational research, 207(3), 1293-1303.

Stanković, M., Gladović, P., & Popović, V. (2019). Determining the importance of the criteria of traffic accessibility using fuzzy AHP and rough AHP method. Decision Making: Applications in Management and Engineering, 2(1), 86-104.

Stevic, Z., Badi, I., Tanackov, I., & Milicic, G. (2017). Supplier selection in furniture production company using rough AHP and rough TOPSIS. Paper presented at the VI International Symposium of Transport and Communications-New Horizons.

Toregas, C., Swain, R., ReVelle, C., & Bergman, L. (1971). The location of emergency service facilities. Operations research, 19(6), 1363-1373.

Vesković, S., Stević, Ž., Stojić, G., Vasiljević, M., & Milinković, S. (2018). Evaluation of the railway management model by using a new integrated model DELPHI-SWARA-MABAC. Decision Making: Applications in Management and Engineering, 1(2), 34-50.

Žižović, M., Pamučar, D., Albijanić, M., Chatterjee, P., & Pribićević, I. (2020). Eliminating Rank Reversal Problem Using a New Multi-Attribute Model—The RAFSI Method. Mathematics, 8(6), 1015.

Published

2021-06-09

How to Cite

Resolving a location selection problem by means of an integrated AHP-RAFSI approach. (2021). Reports in Mechanical Engineering, 2(1), 135-142. https://doi.org/10.31181/rme200102135a