A Literature Review of Multiple-Criteria Decision-Making Methods for Facility Location Selection

Authors

  • Stefan Koprivica Faculty of Civil Engineering, Union Nikola Tesla University, Belgrade, Serbia Author
  • Milica Koprivica Faculty of Civil Engineering, University of Belgrade, Belgrade, Republic of Serbia Author

Keywords:

Location selection, Site selection, Facility, Literature review, Multi-criteria decision-making, Construction

Abstract

Determining the optimal facility location presents a complex challenge that has received substantial scholarly attention in recent decades. Researchers have applied a range of techniques to address this issue across diverse facility location scenarios. Multiple-criteria decision-making (MCDM) has emerged as a key approach for evaluating and selecting optimal alternatives. This review examines the application of MCDM methods in facility location selection. A total of 54 articles were identified through online journal database searches and categorized by author, publication year, addressed problem, applied methods, and application area. The findings indicate that facility location selection is well-suited to MCDM approaches. The most frequently utilized methods include the Analytic Hierarchy Process (AHP), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), Fuzzy AHP, Preference Ranking Organization Method for Enrichment of Evaluations (PROMETHEE), and Weighted Aggregated Sum Product Assessment (WASPAS). Furthermore, the integration of Geographic Information Systems (GIS) with MCDM methods is prevalent in facility site selection.

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References

Al Garni, H. Z., & Awasthi, A. (2017). Solar PV power plant site selection using a GIS-AHP based approach with application in Saudi Arabia. Applied energy, 206, 1225-1240.

Alkaradaghi, K., Ali, S. S., Al-Ansari, N., Laue, J., & Chabuk, A. (2019). Landfill site selection using MCDM methods and GIS in the Sulaimaniyah Governorate, Iraq. Sustainability, 11(17), 4530.

Athawale, V. M., Chatterjee, P., & Chakraborty, S. (2012). Decision making for facility location selection using PROMETHEE II method. International Journal of Industrial and Systems Engineering 1, 11(1-2), 16-30.

Badi, I., Pamučar, 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.

Basuri, T., Gazi, K. H., Das, S. G., & Sankar Prasad Mondal. (2026). Ranking Higher Education Institutions Using Entropy–VIKOR with Generalized Pentagonal Intuitionistic Fuzzy Numbers. Journal of Contemporary Decision Science, 2(1), 64-83.

Biswas, S., & Pamučar, D. (2020). Facility location selection for b-schools in indian context: A multi-criteria group decision based analysis. Axioms, 9(3), 77.

Božanić, D. I., Pamučar, D. S., & Karović, S. M. (2016). Use of the fuzzy AHP-MABAC hybrid model in ranking potential locations for preparing laying-up positions. Vojnotehnicki glasnik/Military Technical Courier, 64(3), 705-729.

De Feo, G., & De Gisi, S. (2010). Using an innovative criteria weighting tool for stakeholders involvement to rank MSW facility sites with the AHP. Waste Management, 30(11), 2370-2382.

Díaz-Cuevas, P., Camarillo-Naranjo, J. M., & Pérez-Alcántara, J. P. (2018). Relational spatial database and multi-criteria decision methods for selecting optimum locations for photovoltaic power plants in the province of Seville (southern Spain). Clean Technologies and Environmental Policy, 20(8), 1889-1902.

El-Araby, A., Sabry, I., & El-Assal, A. (2022). A comparative study of using MCDM methods integrated with entropy weight method for evaluating facility location problem. Operational research in engineering sciences: theory and applications, 5(1), 121-138.

Erdin, C., & Akbaş, H. E. (2019). A comparative analysis of fuzzy TOPSIS and geographic information systems (GIS) for the location selection of shopping malls: a case study from Turkey. Sustainability, 11(14), 3837.

Farahani, R. Z., SteadieSeifi, M., & Asgari, N. (2010). Multiple criteria facility location problems: A survey. Applied mathematical modelling, 34(7), 1689-1709.

Fujita, T., Das, A. K., Mehmood, A., Das, S., & Duran, V. (2025). Decision Analytics Applications of the Relationship Between TreeSoft Graphs and ForestSoft Graphs. Applied Decision Analytics , 2(1), 73-92.

Genç, M. S., Karipoğlu, F., Koca, K., & Azgın, Ş. T. (2021). Suitable site selection for offshore wind farms in Turkey’s seas: GIS-MCDM based approach. Earth Science Informatics, 14(3), 1213-1225.

Gigović, L., Pamučar, D., Božanić, D., & Ljubojević, S. (2017). Application of the GIS-DANP-MABAC multi-criteria model for selecting the location of wind farms: A case study of Vojvodina, Serbia. Renewable energy, 103, 501-521.

Guler, D., & Yomralioglu, T. (2020). Suitable location selection for the electric vehicle fast charging station with AHP and fuzzy AHP methods using GIS. Annals of GIS, 26(2), 169-189.

Guo, S., & Zhao, H. (2015). Optimal site selection of electric vehicle charging station by using fuzzy TOPSIS based on sustainability perspective. Applied Energy, 158, 390-402.

Haddad, M. J. M., Sanders, D., & Tewkesbury, G. (2019). Selecting a discrete Multiple Criteria Decision Making method to decide on a corporate relocation. Archives of Business Research, 7(5), 48-67.

Hasanzadeh, M., Danehkar, A., & Azizi, M. (2013). The application of Analytical Network Process to environmental prioritizing criteria for coastal oil jetties site selection in Persian Gulf coasts (Iran). Ocean & coastal management, 73, 136-144.

Ioannou, K., Tsantopoulos, G., Arabatzis, G., Andreopoulou, Z., & Zafeiriou, E. (2018). A spatial decision support system framework for the evaluation of biomass energy production locations: Case study in the regional unit of drama, Greece. Sustainability, 10(2), 531.

Ishizaka, A., Nemery, P., & Lidouh, K. (2013). Location selection for the construction of a casino in the Greater London region: a triple multi-criteria approach. Tourism Management, 34, 211-220.

Jozaghi, A., Alizadeh, B., Hatami, M., Flood, I., Khorrami, M., Khodaei, N., & Ghasemi Tousi, E. (2018). A comparative study of the AHP and TOPSIS techniques for dam site selection using GIS: A case study of Sistan and Baluchestan Province, Iran. Geosciences, 8(12), 494.

Kaya, Ö., Tortum, A., Alemdar, K. D., & Çodur, M. Y. (2020). Site selection for EVCS in Istanbul by GIS and multi-criteria decision-making. Transportation Research Part D: Transport and Environment, 80, 102271.

Kharat, M. G., Kamble, S. J., Raut, R. D., Kamble, S. S., & Dhume, S. M. (2016). Modeling landfill site selection using an integrated fuzzy MCDM approach. Modeling Earth Systems and Environment, 2, 1-16.

Kuo, M. S. (2011). Optimal location selection for an international distribution center by using a new hybrid method. Expert Systems with Applications, 38(6), 7208-7221.

Latinopoulos, D., & Kechagia, K. (2015). A GIS-based multi-criteria evaluation for wind farm site selection. A regional scale application in Greece. Renewable Energy, 78, 550-560.

Liu, H. C., You, J. X., Fan, X. J., & Chen, Y. Z. (2014). Site selection in waste management by the VIKOR method using linguistic assessment. Applied Soft Computing, 21, 453-461.

Makan, A., Malamis, D., Assobhei, O., Loizidou, M., & Mountadar, M. (2012). Multi-criteria decision analysis for the selection of the most suitable landfill site: case of Azemmour, Morocco. International Journal of Management Science and Engineering Management, 7(2), 96-109.

Marović, I., & Hanak, T. (2017). Selection of adequate site location during early stages of construction project management: A multi-criteria decision analysis approach. In IOP Conference Series: Materials Science and Engineering (Vol. 251, No. 1, p. 012044). IOP Publishing.

Mihajlović, J., Rajković, P., Petrović, G., & Ćirić, D. (2019). The selection of the logistics distribution center location based on MCDM methodology in southern and eastern region in Serbia. Operational Research in Engineering Sciences: Theory and Applications, 2(2), 72-85.

Mohajeri, N., & Amin, G. R. (2010). Railway station site selection using analytical hierarchy process and data envelopment analysis. Computers & Industrial Engineering, 59(1), 107-114.

Mousavi, S. M., Tavakkoli-Moghaddam, R., Heydar, M., & Ebrahimnejad, S. (2013). Multi-criteria decision making for plant location selection: an integrated Delphi–AHP–PROMETHEE methodology. Arabian Journal for Science and Engineering, 38, 1255-1268.

Önüt, S., Efendigil, T., & Kara, S. S. (2010). A combined fuzzy MCDM approach for selecting shopping center site: An example from Istanbul, Turkey. Expert systems with applications, 37(3), 1973-1980.

Pamucar, D. S., Pejcic Tarle, S., & Parezanovic, T. (2018). New hybrid multi-criteria decision-making DEMATELMAIRCA model: sustainable selection of a location for the development of multimodal logistics centre. Economic research-Ekonomska istraživanja, 31(1), 1641-1665.

Pamučar, D., & Božanić, D. (2019). Selection of a location for the development of multimodal logistics center: Application of single-valued neutrosophic MABAC model. Infinite Study.

Pamučar, D., Gigović, L., Bajić, Z., & Janošević, M. (2017). Location selection for wind farms using GIS multi-criteria hybrid model: An approach based on fuzzy and rough numbers. Sustainability, 9(8), 1315.

Petrović, G., Mihajlović, J., Marković, D., Hashemkhani Zolfani, S., & Madić, M. (2023). Comparison of Aggregation Operators in the Group Decision-Making Process: A Real Case Study of Location Selection Problem. Sustainability, 15(10), 8229.

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.

Rai, B. (2025). Interpretable Extreme Gradient Boosting Models for Multi-Class Stock Movement Prediction Using Technical Indicators. Applied Decision Analytics, 2(1), 124-140.

Rao, C., Goh, M., Zhao, Y., & Zheng, J. (2015). Location selection of city logistics centers under sustainability. Transportation Research Part D: Transport and Environment, 36, 29-44.

Ray, A., De, A., & Dan, P. K. (2015). Facility location selection using complete and partial ranking MCDM methods. International Journal of Industrial and Systems Engineering, 19(2), 262-276.

Roig-Tierno, N., Baviera-Puig, A., Buitrago-Vera, J., & Mas-Verdu, F. (2013). The retail site location decision process using GIS and the analytical hierarchy process. Applied Geography, 40, 191-198.

Sánchez-Lozano, J. M., García-Cascales, M. S., & Lamata, M. T. (2016). GIS-based onshore wind farm site selection using Fuzzy Multi-Criteria Decision Making methods. Evaluating the case of Southeastern Spain. Applied Energy, 171, 86-102.

Şener, Ş., Şener, E., Nas, B., & Karagüzel, R. (2010). Combining AHP with GIS for landfill site selection: a case study in the Lake Beyşehir catchment area (Konya, Turkey). Waste management, 30(11), 2037-2046.

Stević, Ž., Pamučar, D., Subotić, M., Antuchevičiene, J., & Zavadskas, E. K. (2018). The location selection for roundabout construction using Rough BWM-Rough WASPAS approach based on a new Rough Hamy aggregator. Sustainability, 10(8), 2817.

Torkayesh, A. E., Zolfani, S. H., Kahvand, M., & Khazaelpour, P. (2021). Landfill location selection for healthcare waste of urban areas using hybrid BWM-grey MARCOS model based on GIS. Sustainable Cities and Society, 67, 102712.

Turskis, Z., & Zavadskas, E. K. (2010). A new fuzzy additive ratio assessment method (ARAS‐F). Case study: The analysis of fuzzy multiple criteria in order to select the logistic centers location. Transport, 25(4), 423-432.

Turskis, Z., Zavadskas, E. K., Antuchevičienė, J., & Kosareva, N. (2015). A hybrid model based on fuzzy AHP and fuzzy WASPAS for construction site selection.

Ullah, K., Rehman, N., & Ali, A. (2026). Business-oriented Stock Market Decision Analysis Using Circular Complex Picture Fuzzy Sets and Advanced MCDM Based on the CRITIC–WASPAS Method. Journal of Contemporary Decision Science, 2(1), 1-54.

Ulucan, E. (2021). The hotel site selection: Determining locational factors by Fuzzy TOPSIS. European Journal of Tourism, Hospitality and Recreation, 10(3), 213-228.

Ulutaş, A., & Karakuş, C. (2021). Location selection for a textile manufacturing facility with GIS based on hybrid MCDM approach. Industria textila, 72(2).

Uyan, M. (2013). GIS-based solar farms site selection using analytic hierarchy process (AHP) in Karapinar region, Konya/Turkey. Renewable and Sustainable Energy Reviews, 28, 11-17.

Wang, C. N., Nguyen, N. A. T., & Dang, T. T. (2022). Offshore wind power station (OWPS) site selection using a two-stage MCDM-based spherical fuzzy set approach. Scientific reports, 12(1), 4260.

Wang, C. N., Nguyen, V. T., Thai, H. T. N., & Duong, D. H. (2018). Multi-criteria decision making (MCDM) approaches for solar power plant location selection in Viet Nam. Energies, 11(6), 1504.

Xuan, H. A., Trinh, V. V., Techato, K., & Phoungthong, K. (2022). Use of hybrid MCDM methods for site location of solar-powered hydrogen production plants in Uzbekistan. Sustainable Energy Technologies and Assessments, 52, 101979.

Yazdani, M., Chatterjee, P., Pamučar, D., & Chakraborty, S. (2020). Development of an integrated decision making model for location selection of logistics centers in the Spanish autonomous communities. Expert Systems with Applications, 148, 113208.

Żak, J., & Węgliński, S. (2014). The selection of the logistics center location based on MCDM/A methodology. Transportation Research Procedia, 3, 555-564.

Zečević, S., Tadić, S., & Krstić, M. (2017). Intermodal transport terminal location selection using a novel hybrid MCDM model. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 25(06), 853-876.

Zolfani, S. H., Aghdaie, M. H., Derakhti, A., Zavadskas, E. K., & Varzandeh, M. H. M. (2013). Decision making on business issues with foresight perspective; an application of new hybrid MCDM model in shopping mall locating. Expert systems with applications, 40(17), 7111-7121.

Published

2026-01-14

How to Cite

A Literature Review of Multiple-Criteria Decision-Making Methods for Facility Location Selection. (2026). Operations Research and Engineering Letters, 4(1), 20-27. https://orel.unionnikolatesla.edu.rs/index.php/eemr/article/view/25

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