A Hybrid BWM-MCLP Method for Selecting Emergency Medical Service Locations: A Case Study in Maha Sarakham Province, Thailand

doi: 10.14456/mijet.2023.13

Authors

  • Amin Lawong University of Ubon Ratchathani, Thailand
  • Nuchsara Kriengkorakot University of Ubon Ratchathani, Thailand
  • Preecha Kriengkorakot University of Ubon Ratchathani, Thailand

Keywords:

MCDM, BWM, maximal covering location problem, emergency medical service locations , ambulance bases

Abstract

The selection of the location of an emergency medical service (ambulance base) is one of the problems involved in designing a suitable emergency medical service, providing life support for emergency patients, under the timing requirements of the Emergency Medical System (EMS). The objective of this research is to select locations to provide coverage and clustering of service areas (minimum number of bases and maximum coverage). In this research, we use a hybrid method based on the Best-Worst Method (BWM) and Maximal Covering Location Problem (MCLP) for locating emergency medical services, based on a case study of thirty-two candidate locations in Muang Maha Sarakham District, Thailand. The area population, local emergency patients, being close to the communities and main roads, wireless local networks, public utilities and social environment were considered by decision makers. Firstly, BWM was used to calculate the criteria weights and final score. After that, the MCLP model was used to select the suitable emergency medical service locations. As a result, seven emergency medical service locations were selected based on the opinions of decision makers.

Author Biographies

Amin Lawong, University of Ubon Ratchathani, Thailand

Department of Industrial Engineering, University of Ubon Ratchathani, Ubon Ratchathani, Thailand

Nuchsara Kriengkorakot, University of Ubon Ratchathani, Thailand

Department of Industrial Engineering, University of Ubon Ratchathani, Ubon Ratchathani, Thailand

Preecha Kriengkorakot, University of Ubon Ratchathani, Thailand

Department of Industrial Engineering, University of Ubon Ratchathani, Ubon Ratchathani, Thailand

References

L. Moore, “Measuring quality and effectiveness of pre-hospital EMS,” Prehospital Emergency Care, vol. 3, no. 4, pp. 325-331, 1999.

National Statistical Office of Thailand, “Population statistics and vital statistics for 2023,” [Online]. Available: https://th.wikipedia.

org/wiki/Thai demographics. [Accessed Jan. 18, 2023].

National Emergency Medicine, Annual report, Thailand, 2020.

Information Technology for Emergency Medical System, Emergency Medicine Statistics Report, Thailand, 2022.

A. Awasthi, S. S. Chauhan, and S. K. Goyal, “A multi-criteria decision-making approach for location planning for urban distribution centers under uncertainty,” Mathematical and Computer Modelling, vol. 53, no. 1-2, pp. 98-109, 2011.

Ponhan, K., & Sureeyatanapas, P, “A comparison between subjective and objective weighting approaches for multi-criteria decision making: A case of industrial location selection,” Engineering and Applied Science Research, vol.49, no. 6, p. 763-771, 2022.

A. Yildiz and Y. Demir, “Bulanik topsis yontemiyle turkiye’nin yerli otomobili icin en uygun fabrika yerinin secimi,” Business; Management Studies: An International Journal, vol. 7, no. 4, pp. 1427-1445, 2019.

W.Phiwkkao, K.Nitisiri. K.Sethana, R.Nanthapodej, and S.Pattanaparioj, “Multiple-Criteria Decision Making Approach for Pickup Truck Supplier Selection,” Mahasarakham International Journal of Engineering Technology, vol. 7, vol. 1, pp. 43-49, 2021.

S.Wiangdow, J. Suriyawannkul. “Integrated Fuzzy Logic and AHP-TOPSIS for Suitable Turbine Set Selection of Pumped Hydro Storage Powerplant: A Case Study from Thailand,” Mahasarakham International Journal of Engineering Technology, vol. 7, 2021.

K. Devi and S. P. Yadav, “A multicriteria intuitionistic fuzzy group decision making for plant location selection with ELECTRE method,” The International Journal of Advanced Manufacturing Technology, vol. 66, no. 9-12, pp. 1219-1229, 2012.

T. N.-M. Nong, “A hybrid model for distribution center location selection,” The Asian Journal of Shipping and Logistics, vol. 38, no. 1, pp. 40-49, 2022.

S. Bait, S. M. Lauria, and M. M. Schiraldi, “Multi-criteria decision-making model for supporting manufacturing settlements location in Africa after COVID-19,” International Journal of Engineering Business Management, vol. 13, pp. 1-15, 2021.

V. Perez-Benitez, G. Gemar, and M. Hernández, “Multi-Criteria Analysis for Business Location Decisions,” Mathematics, vol. 9, no. 2615, p. 1-21, 2021.

C.-N. Wang, V. T. Nguyen, H. T. N. Thai, and D. H. Duong, “Multi-Criteria Decision Making (MCDM) Approaches for Solar Power Plant Location Selection in Viet Nam,” Energies, vol. 11, n. 1504, pp. 1-27, 2018.

E. W. L. Cheng, H. Li, and L. Yu, “The analytic network process (ANP) approach to location selection: a shopping mall illustration,” Construction Innovation, vol. 5, no. 2, pp. 83–97, 2005.

V. M. Athawale, P. Chatterjee, and S. Chakraborty, “Decision making for facility location selection using PROMETHEE II method,” International Journal of Industrial and Systems Engineering, vol. 11, no. 1/2, p. 16-0, 2012.

I. OZ, “Decision Making in Evaluation and Selection of Launch Site with The Best and Worst Method,” Gazi University Journal of Science, vol. 35, no. 4, pp. 1521-1533, 2021.

S. Kheybari, M. Kazemi, and J. Rezaei, “Bioethanol facility location selection using best-worst method,” Applied Energy, vol. 242, pp. 612-623, 2019.

A. S. Özer, H. Hasani, E. B. Genç, N. Kutlu, G. T. Temur, and Ç. Sivri, “Using Best Worst Method for Location Selection of Piezoelectric Tiles,” Lecture Notes in Mechanical Engineering. Springer International Publishing, pp. 27-34, 2020.

S. Kheybari, M. Davoodi Monfared, H. Farazmand, and J. Rezaei, “Sustainable Location Selection of Data Centers: Developing a Multi-Criteria Set-Covering Decision-Making Methodology,” International Journal of Information Technology; Decision Making, vol. 19, no. 03, pp. 741-773, 2020

R. Chakraborty, A. Ray, and P. K. Dan, “Multi criteria decision making methods for location selection of distribution centers,” International Journal of Industrial Engineering Computations, vol. 4, no. 4, pp. 491-504, 2013.

M. Niyazi, R. Tavakkoli-Moghaddam, “Solving a Facility Location Problem by Three Multi-Criteria Decision Making Methods,” Int. J. of Research in Industrial Engineering, vol. 3, no. 4, pp. 41-56, 2014.

F. Uysal and Ö. Tosun, “Multi Criteria Analysis of the Residential Properties in Antalya Using TODIM Method,” Procedia - Social and Behavioral Sciences, vol. 109, pp. 322-326, 2014.

S. Ding, J. Xu, L. Dai, and H. Hu, “Mobility industry call center location selection under sustainability: a two-phase decision-making approach,” Smart and Resilient Transportation, vol. 3, no. 2, pp. 177-201, 2021.

N. Wichapa and P. Khokhajaikiat, “Solving multi-objective facility location problem using the fuzzy analytical hierarchy process and goal programming: a case study on infectious waste disposal centers,” Operations Research Perspectives, vol. 4. pp. 39-48, 2017.

S. M. Seyed Alavi, A. Maleki, and A. Khaleghi, “Optimal site selection for wind power plant using multi-criteria decision-making methods: A case study in eastern Iran,” International Journal of Low-Carbon Technologies, vol. 17, pp. 1319-1337, 2022.

M. A. Sofuoğlu, “Fuzzy applications of Best–Worst method in manufacturing environment,” Soft Computing, vol. 24, no. 1, pp. 647-659, 2019.

T. Sudsuansee, N. Wichapa, A. Lawong, and N. Khotsaeng, “A Novel Hybrid Method Based on Three-Stage Extraction and DEA-CCR Models for Selecting the Optimal Conditions for Citronella Oil Extraction,” Applied Science and Engineering Progress, 2021.

N. Wichapa, A. Lawong, and M. Donmuen, “Ranking DMUs using a novel combination method for integrating the results of relative closeness benevolent and relative closeness aggressive models,” International Journal of Data and Network Science. Growing Science, pp. 401–416, 2021.

N. Wichapa, and S. Sodsoon, "A Relative Closeness Coefficient Model Based on the Distance of Virtual DMUs Cross-Efficiency Method for Ranking Thai Economic Development," Engineering Letters, vol. 31, no.1, pp122-135, 2023.

J. Rezaei, “Best-worst multi-criteria decision-making method,” Omega, vol. 53, pp. 49-57, Jun. 2015.

J. Rezaei, “Best-worst multi-criteria decision-making method: Some properties and a linear model,” Omega, vol. 64, pp. 126-130, 2016.

R. Church and C. ReVelle, “The maximal covering location problem,” Papers of the Regional Science Association, vol. 32, no. 1, pp. 101-118, 1974.

M. H. Fazel Zarandi, S. Davari, and S. A. Haddad Sisakht, “The large-scale maximal covering location problem,” Scientia Iranica, vol. 18, no. 6, pp. 1564-1570, Dec. 2011.

M. S. Daskin, “A Maximum Expected Covering Location Model: Formulation, Properties and Heuristic Solution,” Transportation Science, vol. 17, no. 1, pp. 48-70, 1983.

P. Yin and L. Mu, “Modular capacitated maximal covering location problem for the optimal siting of emergency vehicles,” Applied Geography, vol. 34, pp. 247-254, May 2012.

Published

2023-05-31

How to Cite

Lawong, A., Kriengkorakot, N. ., & Kriengkorakot, P. . (2023). A Hybrid BWM-MCLP Method for Selecting Emergency Medical Service Locations: A Case Study in Maha Sarakham Province, Thailand: doi: 10.14456/mijet.2023.13. Engineering Access, 9(1), 102–108. Retrieved from https://ph02.tci-thaijo.org/index.php/mijet/article/view/248754

Issue

Section

Research Papers