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MULTI-CRITERIA DECISION- MAKING APPROACH IN SINGLE FACILITY LOCATION SELECTION: A PROPOSAL FOR AN INTEGRATED MODEL

Yıl 2024, , 129 - 162, 28.06.2024
https://doi.org/10.36543/kauiibfd.2024.006

Öz

Selecting the right single-plant facility is crucial to maximizing the use of limited resources and minimizing effort waste. This study aims to provide decision-makers with a practical and effective approach that is as far as possible from individual subjective judgments when deciding on a single-plant facility. It differs from some other studies in the literature that leave the prioritization and weighting of criteria in the background in that it proposes a model in which decision-makers can determine their criteria for the location selection of a single facility and determine the extent to which these criteria are present in their alternatives. The step-wise weight assessment ratio analysis (SWARA) and the weighted aggregated sum product assessment (WASPAS) methods were used with an integrated approach. The results revealed that the approach used in this study was highly successful in the selection of a community pharmacy facility as a single-plant organization.

Kaynakça

  • Aghaloo, K., Ali, T., Chiu, Y. R., & Sharifi, A. (2023). Optimal site selection for the solar-wind hybrid renewable energy systems in Bangladesh using an integrated GIS-based BWM-fuzzy logic method. Energy Conversion and Management, 283, 116899.
  • Ahmadisharaf, E., Tajrishy, M., & Alamdari, N. (2015). Integrating flood hazard into site selection of detention basins using spatial multi-criteria decision-making. Journal of Environmental Planning and Management, 59(8), 1397–1417.
  • Alrasheedi, A. F., Mishra, A. R., Rani, P., Zavadskas, E. K., & Cavallaro, F. (2023). Multicriteria group decision-making approach based on an improved distance measure, the SWARA method and the WASPAS method. Granular Computing, 8(6), 1867–1885.
  • Alzahrani, F. A., Ghorui, N., Gazi, K. H., Giri, B. C., Ghosh, A., & Mondal, S. P. (2023). Optimal Site Selection for Women University Using Neutrosophic Multi-Criteria Decision Making Approach. Buildings, 13(1), 152.
  • Anjum, M., Min, H., Sharma, G., & Ahmed, Z. (2024). Advancing sustainable urban development: Navigating complexity with spherical fuzzy decision making. Symmetry, 16(6), 670.
  • Ankara Development Agency. (2023). Ankara regional plan. Accessed from https://kutuphane.ankaraka.org.tr/upload/dokumandosya/35_ankara-bolge-plani-2014-2023.pdf on April 05, 2024.
  • Baç, U. (2020). An integrated swara-waspas group decision making framework to evaluate smart card systems for public transportation. Mathematics, 8(10), 1723. 1-23.
  • Banayoun, R., Roy, B., & Sussman, N. (1966). Manual de reference du programme electre (French) [electre program reference manual]. In Note de Synthese et Formation 25. Direction Scientifique SEMA, Paris, France.
  • Bouraima, M. B., Qiu, Y., Ayyıldız, E., & Yıldız, A. (2023). Prioritization of strategies for a sustainable regional transportation infrastructure by hybrid spherical fuzzy group decision-making approach. Neural Computing & Applications, 35(24), 17967–17986.
  • Boyacı, A. C., & Şişman, A. (2024). Location selection for waste disposal boxes: a geographic information systems based Pythagorean fuzzy multi-criteria decision analysis. International Journal of Environmental Science and Technology, 1-16.
  • Brandeau, M. L., & Chiu, S. S. (1989). An overview of representative problems in location Research. Management Science, 35(6), 645–674.
  • Brauers, W. K. M., & Zavadskas E. K. (2006) The MOORA method and its applications to privatization in a transition economy. Control and Cybernetics, 35, 445-469.
  • Brans, J. P. (1982). L’ingénierie de la décision: l’élaboration d’instruments d’aide a la décision. Méthode PROMETHEE. Université Laval, Faculté des Sciences de L’administration, Québec, QC, Canada.
  • Carrier, R. E., & Schriver, W. R. (1968). Location theory: an empirical model and selected findings. land economics, 44(4), 450-460.
  • Chang, K. H. (2024). Combining subjective and objective weights considerations to solve the emergency location selection problems under spherical fuzzy environments. Applied Soft Computing, 153, 111272.
  • Chen, J., Huang, Y., Chan, H., Chen, M., & Ho, Y. (2023). Mapping real-world data to self-reported information to explore determinants of location selection for community pharmacies in Taiwan. Journal of Multidisciplinary Healthcare, 16, 971-981.
  • Cooper, R., Bissell, P., & Wingfield, J. (2009). `Islands' and `doctor's tool': the ethical significance of isolation and subordination in UK community pharmacy. Health an Interdisciplinary Journal for the Social Study of Health Illness and Medicine, 13(3), 297-316.
  • Coşkun, T. İ. (2022). Eczane kuruluş yeri seçimini etkileyen faktörlerin çok kriterli karar verme tekniklerinden wıngs ve dematel yöntemleriyle değerlendirilmesi, Eskişehir Osmangazi Üniversitesi İİBF Dergisi, 17(2), 295 –310.
  • Çağrı T. A., Tüysüz, F., & Kahraman, C. (2013). A fuzzy multi-criteria decision analysis approach for retail location selection. International Journal of Information Technology, & Decision Making, 12(4), 729–755.
  • Dehghani, A., & Soltani, A. (2023). Site selection of car parking with the gıs-based fuzzy multi-criteria decision making. International Journal of Information Technology and Decision Making, 23(2), 715-740.
  • Dell’Ovo, M., Capolongo, S., & Oppio, A. (2018, July). Combining spatial analysis with MCDA for the siting of healthcare facilities. Land Use Policy, 76, 634–644.
  • Dehshiri, S. J. H., Mostafaeipour, A., Le, T., & Sabagh, A. R. (2024). Evaluation of sustainable hydrogen production technologies on an industrial scale using comparative analysis of decision-making methods. Environmental Science and Pollution Research International, 1-17.
  • Dosal, E., Viguri, J. R., & Andrés, A. (2013). Multi-criteria decision-making methods for the optimal location of construction and demolition waste (C&DW) recycling facilities. In Handbook of recycled concrete and demolition waste (pp. 76-107). Woodhead Publishing.
  • Edwards, W. (1971). Social utilities. The Engineering Economist Summer Symposium Series 6. 119–129.
  • Feng, Z., Li, G., Wang, W., Zhang, L., Xiang, W., He, X., Zhang, M., & Wei, N. (2023). Emergency logistics centers site selection by multi-criteria decision-making and GIS. International Journal of Disaster Risk Reduction, 96, 103921.
  • Gabus, A., & Fontela, E. (1972). World problems, an invitation to further thought within the framework of DEMATEL. Geneva, Switzerland: Battelle Geneva Research Center.
  • Ghattas, D.A., & Al-Abdallah, G.M. (2020). Factors affecting customers selection of community pharmacies: The mediating effect of branded pharmacies and the moderating effect of demographics. Management Science Letters, 10, 1813-1826
  • Greenhut, M. L., (1956). Plant Location in Theory and in Practise. Chapel Hill, North Carolina: University of North Carolina Press.
  • Hashemkhani Zolfani, S., Dehnavieh, R., Poursheikhali, A., Prentkovskis, O., & Khazaelpour, P. (2019). Foresight based on madm-based scenarios’ approach: a case about comprehensive sustainable health financing models. Symmetry, 12(1), 61-88.
  • Hwang, C. L., & Yoon K. (1981). Multiple attribute decision making: methods and applications—a state-of-the-art survey (lecture notes in economics and mathematical systems). New York: Springer.
  • Isard, W., (1956). Location and Space Economy. Cambridge: Technology Press, MIT.
  • Islam, M. R., Aziz, M. T., Alauddin, M., Kader, Z., & Islam, M. R. (2024). Site suitability assessment for solar power plants in Bangladesh: A GIS-based analytical hierarchy process (AHP) and multi-criteria decision analysis (MCDA) approach. Renewable Energy, 220, 119595.
  • Jin, H., Zhang, M., & Yuan, Y. (2018). Analytic network process-based multi-criteria decision approach and sensitivity analysis for temporary facility layout planning in construction projects. Applied Sciences, 8(12), 2434.
  • Keršulienė, V., Zavadskas, E. K., & Turskis, Z. (2010). Selection of rational dispute resolution method by applying new step‐wise weight assessment ratio analysis (SWARA). Journal of Business Economics and Management, 11(2), 243–258.
  • Köse, Y., Ayyıldız, E., & Çevikcan, E. (2024). Evaluation of disassembly line layouts using an integrated fermatean fuzzy decision-making methodology: An application for refrigerator disassembly line. Computers & Industrial Engineering, 190, 110090.
  • Mardani, A., Jusoh, A., MD Nor, K., Khalifah, Z., Zakwan, N., & Valipour, A. (2015). Multiple criteria decision-making techniques and their applications – a review of the literature from 2000 to 2014. Economic Research-Ekonomska Istraživanja, 28(1), 516–571.
  • Moradi, M., & Bidkhori, M. (2009). Single facility location problem. In R. Z. Farahani, & M. Hekmatfar (Eds.), Facility location: Concepts, models, algorithms and case studies. Contributions to management science. Heidelberg: Physica-Verlag.
  • Mota, I., & Brandão, A. (2013). The determinants of location choice: Single plants versus multi‐plants. Papers in Regional Science, 92(1), 31–50.
  • Mousavi, S. M., Tavakkoli-Moghaddam, R., Heydar, M., & Ebrahimnejad, S. (2012). Multi-criteria decision making for plant location selection: an ıntegrated Delphi–AHP–PROMETHEE methodology. Arabian Journal for Science and Engineering, 38(5), 1255–1268.
  • Opricović, S. (1990). Programski paket VIKOR za visekriterijumsko kompromisno rangiranje, 17th International symposium on operational research. Belgrade, Serbia: SYM-OP-IS.
  • Pednekar P, & Peterson A (2018). Mapping pharmacy deserts and determining accessibility to community pharmacy services for elderly enrolled in a State Pharmaceutical Assistance Program. PLoS ONE, 13(6), e0198173.
  • Petrović, G., Mihajlović, J., Marković, D., Zolfani, S. H., & 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.
  • Raad, N. G., & Rajendran, S. (2024). A Hybrid Robust SBM-DEA, Multiple Regression, and MCDM-GIS Model for Airport Site Selection: Case Study of Sistan and Baluchestan Province, Iran. Transportation Engineering, 16, 100235.
  • Rai, M., Goyal R. (2017). Pharmacoeconomics in Healthcare Vohora, D., & Singh, G. (Eds.). Pharmaceutical medicine and translational clinical research (pp.465-472). Massachusetts: Academic Press.
  • Saaty, T. L. (1980). The analytic hierarchy process. New York: McGraw-Hill.
  • Saaty, T. L. (1996). Decision making with dependence and feedback: The analytic network process. Pittsburgh: RWS Publications.
  • Sarkar, B. (2011). Fuzzy decision making and its applications in cotton fibre grading. In A. Majumdar (Eds.), Soft Computing in textile engineering (pp. 353-383). Sawston: Woodhead Publishing.
  • Serna, S., Gerres, T., & Cossent, R. (2023). Multi-criteria decision-making for renewable hydrogen production site selection: a systematic literature review. Current Sustainable/ Renewable Energy Reports, 10(3), 119–129.
  • Shao, M., Han, Z., Sun, J., Xiao, C., Zhang, S., & Zhao, Y. (2020). A review of multi-criteria decision making applications for renewable energy site selection. Renewable Energy, 157, 377–403.
  • Sharma, H., Sohani, N., & Yadav, A. (2023). A fuzzy SWARA-WASPAS based approach for determining the role of lean practices in enabling the supply chain agility. International Journal of System Assurance Engineering and Management, 14(S1), 492–511.
  • Simic, V., Karagoz, S., Deveci, M., & Aydin, N. (2021). Picture fuzzy extension of the CODAS method for multi-criteria vehicle shredding facility location. Expert Systems With Applications, 175, 114644.
  • Singh, R., &Modgil, S. (2020). Supplier selection using swara and waspas – a case study of Indian cement industry. Measuring Business Excellence, 24(2), 243-265.
  • Thakkar, J.J. (2021a). Stepwise weight assessment ratio analysis (SWARA). In: Multi-Criteria Decision Making. Studies in Systems, Decision and Control (pp. 281-289). Singapore: Springer.
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TEKLİ TESİS YERİ SEÇİMİNDE ÇOK KRİTERLİ KARAR VERME YAKLAŞIMI: ENTEGRE BİR MODEL ÖNERİSİ

Yıl 2024, , 129 - 162, 28.06.2024
https://doi.org/10.36543/kauiibfd.2024.006

Öz

Tek tesisli organizasyonlarda kuruluş yerinin doğru bir şekilde seçilmesi, sınırlı kaynakların kullanımını en üst düzeye çıkarmak ve çabaların boşa gitmemesini sağlamak açısından oldukça önemlidir. Bu çalışmanın amacı, karar vericilere tek tesisli kuruluş yeri seçiminde bireysel subjektif yargılardan mümkün olduğunca uzak, pratik ve etkili bir yaklaşım sunmaktır. Bu çalışma kriterlerin önceliklendirilmesi ve ağırlıklandırılması hususlarını geri planda bırakan literatürdeki diğer bazı çalışmalardan farklı olarak tek tesisli bir organizasyonun kuruluş yeri seçiminde karar vericilerin kendi kriterlerini belirleyip, mevcut alternatiflerde bu kriterlerin ne ölçüde bulunduğunu tespit edebileceği bir model önermektedir. Kademeli ağırlık değerlendirme oranı analizi (SWARA) ve birleşik ağırlıklandırılmış toplam çıktı değerlendirmesi (WASPAS) yöntemleri bütünleşik bir yaklaşımla kullanılmıştır. Elde edilen sonuçlar, bu araştırmada kullanılan yaklaşımın, bir tek tesisli organizasyon olarak serbest eczane yerinin seçilmesinde oldukça başarılı olduğunu ortaya koymuştur.

Kaynakça

  • Aghaloo, K., Ali, T., Chiu, Y. R., & Sharifi, A. (2023). Optimal site selection for the solar-wind hybrid renewable energy systems in Bangladesh using an integrated GIS-based BWM-fuzzy logic method. Energy Conversion and Management, 283, 116899.
  • Ahmadisharaf, E., Tajrishy, M., & Alamdari, N. (2015). Integrating flood hazard into site selection of detention basins using spatial multi-criteria decision-making. Journal of Environmental Planning and Management, 59(8), 1397–1417.
  • Alrasheedi, A. F., Mishra, A. R., Rani, P., Zavadskas, E. K., & Cavallaro, F. (2023). Multicriteria group decision-making approach based on an improved distance measure, the SWARA method and the WASPAS method. Granular Computing, 8(6), 1867–1885.
  • Alzahrani, F. A., Ghorui, N., Gazi, K. H., Giri, B. C., Ghosh, A., & Mondal, S. P. (2023). Optimal Site Selection for Women University Using Neutrosophic Multi-Criteria Decision Making Approach. Buildings, 13(1), 152.
  • Anjum, M., Min, H., Sharma, G., & Ahmed, Z. (2024). Advancing sustainable urban development: Navigating complexity with spherical fuzzy decision making. Symmetry, 16(6), 670.
  • Ankara Development Agency. (2023). Ankara regional plan. Accessed from https://kutuphane.ankaraka.org.tr/upload/dokumandosya/35_ankara-bolge-plani-2014-2023.pdf on April 05, 2024.
  • Baç, U. (2020). An integrated swara-waspas group decision making framework to evaluate smart card systems for public transportation. Mathematics, 8(10), 1723. 1-23.
  • Banayoun, R., Roy, B., & Sussman, N. (1966). Manual de reference du programme electre (French) [electre program reference manual]. In Note de Synthese et Formation 25. Direction Scientifique SEMA, Paris, France.
  • Bouraima, M. B., Qiu, Y., Ayyıldız, E., & Yıldız, A. (2023). Prioritization of strategies for a sustainable regional transportation infrastructure by hybrid spherical fuzzy group decision-making approach. Neural Computing & Applications, 35(24), 17967–17986.
  • Boyacı, A. C., & Şişman, A. (2024). Location selection for waste disposal boxes: a geographic information systems based Pythagorean fuzzy multi-criteria decision analysis. International Journal of Environmental Science and Technology, 1-16.
  • Brandeau, M. L., & Chiu, S. S. (1989). An overview of representative problems in location Research. Management Science, 35(6), 645–674.
  • Brauers, W. K. M., & Zavadskas E. K. (2006) The MOORA method and its applications to privatization in a transition economy. Control and Cybernetics, 35, 445-469.
  • Brans, J. P. (1982). L’ingénierie de la décision: l’élaboration d’instruments d’aide a la décision. Méthode PROMETHEE. Université Laval, Faculté des Sciences de L’administration, Québec, QC, Canada.
  • Carrier, R. E., & Schriver, W. R. (1968). Location theory: an empirical model and selected findings. land economics, 44(4), 450-460.
  • Chang, K. H. (2024). Combining subjective and objective weights considerations to solve the emergency location selection problems under spherical fuzzy environments. Applied Soft Computing, 153, 111272.
  • Chen, J., Huang, Y., Chan, H., Chen, M., & Ho, Y. (2023). Mapping real-world data to self-reported information to explore determinants of location selection for community pharmacies in Taiwan. Journal of Multidisciplinary Healthcare, 16, 971-981.
  • Cooper, R., Bissell, P., & Wingfield, J. (2009). `Islands' and `doctor's tool': the ethical significance of isolation and subordination in UK community pharmacy. Health an Interdisciplinary Journal for the Social Study of Health Illness and Medicine, 13(3), 297-316.
  • Coşkun, T. İ. (2022). Eczane kuruluş yeri seçimini etkileyen faktörlerin çok kriterli karar verme tekniklerinden wıngs ve dematel yöntemleriyle değerlendirilmesi, Eskişehir Osmangazi Üniversitesi İİBF Dergisi, 17(2), 295 –310.
  • Çağrı T. A., Tüysüz, F., & Kahraman, C. (2013). A fuzzy multi-criteria decision analysis approach for retail location selection. International Journal of Information Technology, & Decision Making, 12(4), 729–755.
  • Dehghani, A., & Soltani, A. (2023). Site selection of car parking with the gıs-based fuzzy multi-criteria decision making. International Journal of Information Technology and Decision Making, 23(2), 715-740.
  • Dell’Ovo, M., Capolongo, S., & Oppio, A. (2018, July). Combining spatial analysis with MCDA for the siting of healthcare facilities. Land Use Policy, 76, 634–644.
  • Dehshiri, S. J. H., Mostafaeipour, A., Le, T., & Sabagh, A. R. (2024). Evaluation of sustainable hydrogen production technologies on an industrial scale using comparative analysis of decision-making methods. Environmental Science and Pollution Research International, 1-17.
  • Dosal, E., Viguri, J. R., & Andrés, A. (2013). Multi-criteria decision-making methods for the optimal location of construction and demolition waste (C&DW) recycling facilities. In Handbook of recycled concrete and demolition waste (pp. 76-107). Woodhead Publishing.
  • Edwards, W. (1971). Social utilities. The Engineering Economist Summer Symposium Series 6. 119–129.
  • Feng, Z., Li, G., Wang, W., Zhang, L., Xiang, W., He, X., Zhang, M., & Wei, N. (2023). Emergency logistics centers site selection by multi-criteria decision-making and GIS. International Journal of Disaster Risk Reduction, 96, 103921.
  • Gabus, A., & Fontela, E. (1972). World problems, an invitation to further thought within the framework of DEMATEL. Geneva, Switzerland: Battelle Geneva Research Center.
  • Ghattas, D.A., & Al-Abdallah, G.M. (2020). Factors affecting customers selection of community pharmacies: The mediating effect of branded pharmacies and the moderating effect of demographics. Management Science Letters, 10, 1813-1826
  • Greenhut, M. L., (1956). Plant Location in Theory and in Practise. Chapel Hill, North Carolina: University of North Carolina Press.
  • Hashemkhani Zolfani, S., Dehnavieh, R., Poursheikhali, A., Prentkovskis, O., & Khazaelpour, P. (2019). Foresight based on madm-based scenarios’ approach: a case about comprehensive sustainable health financing models. Symmetry, 12(1), 61-88.
  • Hwang, C. L., & Yoon K. (1981). Multiple attribute decision making: methods and applications—a state-of-the-art survey (lecture notes in economics and mathematical systems). New York: Springer.
  • Isard, W., (1956). Location and Space Economy. Cambridge: Technology Press, MIT.
  • Islam, M. R., Aziz, M. T., Alauddin, M., Kader, Z., & Islam, M. R. (2024). Site suitability assessment for solar power plants in Bangladesh: A GIS-based analytical hierarchy process (AHP) and multi-criteria decision analysis (MCDA) approach. Renewable Energy, 220, 119595.
  • Jin, H., Zhang, M., & Yuan, Y. (2018). Analytic network process-based multi-criteria decision approach and sensitivity analysis for temporary facility layout planning in construction projects. Applied Sciences, 8(12), 2434.
  • Keršulienė, V., Zavadskas, E. K., & Turskis, Z. (2010). Selection of rational dispute resolution method by applying new step‐wise weight assessment ratio analysis (SWARA). Journal of Business Economics and Management, 11(2), 243–258.
  • Köse, Y., Ayyıldız, E., & Çevikcan, E. (2024). Evaluation of disassembly line layouts using an integrated fermatean fuzzy decision-making methodology: An application for refrigerator disassembly line. Computers & Industrial Engineering, 190, 110090.
  • Mardani, A., Jusoh, A., MD Nor, K., Khalifah, Z., Zakwan, N., & Valipour, A. (2015). Multiple criteria decision-making techniques and their applications – a review of the literature from 2000 to 2014. Economic Research-Ekonomska Istraživanja, 28(1), 516–571.
  • Moradi, M., & Bidkhori, M. (2009). Single facility location problem. In R. Z. Farahani, & M. Hekmatfar (Eds.), Facility location: Concepts, models, algorithms and case studies. Contributions to management science. Heidelberg: Physica-Verlag.
  • Mota, I., & Brandão, A. (2013). The determinants of location choice: Single plants versus multi‐plants. Papers in Regional Science, 92(1), 31–50.
  • Mousavi, S. M., Tavakkoli-Moghaddam, R., Heydar, M., & Ebrahimnejad, S. (2012). Multi-criteria decision making for plant location selection: an ıntegrated Delphi–AHP–PROMETHEE methodology. Arabian Journal for Science and Engineering, 38(5), 1255–1268.
  • Opricović, S. (1990). Programski paket VIKOR za visekriterijumsko kompromisno rangiranje, 17th International symposium on operational research. Belgrade, Serbia: SYM-OP-IS.
  • Pednekar P, & Peterson A (2018). Mapping pharmacy deserts and determining accessibility to community pharmacy services for elderly enrolled in a State Pharmaceutical Assistance Program. PLoS ONE, 13(6), e0198173.
  • Petrović, G., Mihajlović, J., Marković, D., Zolfani, S. H., & 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.
  • Raad, N. G., & Rajendran, S. (2024). A Hybrid Robust SBM-DEA, Multiple Regression, and MCDM-GIS Model for Airport Site Selection: Case Study of Sistan and Baluchestan Province, Iran. Transportation Engineering, 16, 100235.
  • Rai, M., Goyal R. (2017). Pharmacoeconomics in Healthcare Vohora, D., & Singh, G. (Eds.). Pharmaceutical medicine and translational clinical research (pp.465-472). Massachusetts: Academic Press.
  • Saaty, T. L. (1980). The analytic hierarchy process. New York: McGraw-Hill.
  • Saaty, T. L. (1996). Decision making with dependence and feedback: The analytic network process. Pittsburgh: RWS Publications.
  • Sarkar, B. (2011). Fuzzy decision making and its applications in cotton fibre grading. In A. Majumdar (Eds.), Soft Computing in textile engineering (pp. 353-383). Sawston: Woodhead Publishing.
  • Serna, S., Gerres, T., & Cossent, R. (2023). Multi-criteria decision-making for renewable hydrogen production site selection: a systematic literature review. Current Sustainable/ Renewable Energy Reports, 10(3), 119–129.
  • Shao, M., Han, Z., Sun, J., Xiao, C., Zhang, S., & Zhao, Y. (2020). A review of multi-criteria decision making applications for renewable energy site selection. Renewable Energy, 157, 377–403.
  • Sharma, H., Sohani, N., & Yadav, A. (2023). A fuzzy SWARA-WASPAS based approach for determining the role of lean practices in enabling the supply chain agility. International Journal of System Assurance Engineering and Management, 14(S1), 492–511.
  • Simic, V., Karagoz, S., Deveci, M., & Aydin, N. (2021). Picture fuzzy extension of the CODAS method for multi-criteria vehicle shredding facility location. Expert Systems With Applications, 175, 114644.
  • Singh, R., &Modgil, S. (2020). Supplier selection using swara and waspas – a case study of Indian cement industry. Measuring Business Excellence, 24(2), 243-265.
  • Thakkar, J.J. (2021a). Stepwise weight assessment ratio analysis (SWARA). In: Multi-Criteria Decision Making. Studies in Systems, Decision and Control (pp. 281-289). Singapore: Springer.
  • Thakkar, J.J. (2021b). Weighted aggregated sum product assessment (WASPAS). In: Multi-Criteria Decision Making. Studies in Systems, Decision and Control (pp. 253-279). Singapore: Springer.
  • Thomas, D., Hiligsmann, M., John, D., Al Ahdab, O. G., & Li, H. (2019). Pharmacoeconomic analyses and modeling. In T. Dixon (Ed.). Clinical pharmacy education, practice and research (pp. 261-275). Amsterdam: Elsevier.
  • Vahidnia, M., Alesheikh, A., & Alimohammadi, A. (2009). Hospital site selection using fuzzy AHP and its derivatives. Journal of Environmental Management, 90(10), 3048-3056.
  • Vinchurkar, S. H., & Samtani, B. K. (2019). Performance evaluation of the hydropower plants using various multi-criteria decision-making techniques. International Journal of Engineering and Advanced Technology, 8(6), 2131-2138.
  • Warfield, J. N. (1974). Structuring complex systems. Ohio: Battelle Memorial Institute.
  • Weber, A., (1909). Ueber den Standort der Industrien. 1. Reine Theorie des Standorts. Germany: Mohr.
  • Wisseh, C., Hildreth, K., Marshall, J., Tanner, A., Bazargan, M., & Robinson, P. (2020). Social determinants of pharmacy deserts in Los Angeles County. Journal of Racial and Ethnic Health Disparities, 8(6), 1424-1434.
  • Xu, W., Liu, L., Zhang, Q., & Liu, P. (2018) Location decision-making of equipment manufacturing enterprise under dual-channel purchase and sale mode. Complexity, 2, 1-16.
  • Wan, S. P., Wu, H., & Dong, J. Y. (2024). An integrated method for complex heterogeneous multi-attribute group decision-making and application to photovoltaic power station site selection. Expert Systems With Applications, 242, 122456.
  • Yüceşahin, M. M., & Tüysüz, S. (2011). Ankara kentinde sosyo-mekânsal farklılaşmanın örüntüleri: ampirik bir analiz. Coğrafi Bilimler Dergisi, 9(2), 159-188.
  • Zhang, Z., Wang, Z., Li, G., Zhao, M., & Li, W. (2024). The suitability assessment on site selection for bottom-seeding scallop culture based on analytic hierarchy process. Journal of Oceanology and Limnology, 42, 647-663.
  • Zavadskas, E. K., Kaklauskas, A., & Sarka, V. (1994). The new method of multicriteria complex proportional assessment of projects. Technological and Economic Development of Economy, 1(3), 131–139.
  • Zavadskas, E. K., & Turskis, Z. (2010). A new additive ratio assessment (ARAS) method in multi-criteria decision-making. Technological and Economic Development of Economy, 16(2), 159–172.
  • Zavadskas, E. K., Turskis, Z., Antucheviciene, J., & Zakarevicius, A. (2012). Optimization of weighted aggregated sum product assessment. Elektronika Ir Elektrotechnika, 122(6), 3-6.
  • Zavadskas, E. K., Đalić, I., & Stević, E. (2021). Application of novel DEA-SWARA-WASPAS model for efficiency assessment of agricultural products. Journal of Smart Environments and Green Computing, 1, 32-46.
Toplam 68 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Küçük İşletme Organizasyonu ve Yönetimi
Bölüm Makaleler
Yazarlar

Oktay Yanık 0000-0002-8624-924X

Yayımlanma Tarihi 28 Haziran 2024
Gönderilme Tarihi 6 Mayıs 2024
Kabul Tarihi 27 Haziran 2024
Yayımlandığı Sayı Yıl 2024

Kaynak Göster

APA Yanık, O. (2024). MULTI-CRITERIA DECISION- MAKING APPROACH IN SINGLE FACILITY LOCATION SELECTION: A PROPOSAL FOR AN INTEGRATED MODEL. Kafkas Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi, 15(29), 129-162. https://doi.org/10.36543/kauiibfd.2024.006

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