Journals / İşletme Bilimi Dergisi / 2026 / Cilt: 14 Sayı: 3
Disaster Logistics Depot Site Selection Using Set Coverage and P-Median Methods: A Hybrid Multi-Objective Model Proposal
- Journal
- İşletme Bilimi Dergisi
- Pages
- 754–781
- Publication Date
- 2026-09-25
Abstract
This study develops a hybrid multi-objective optimization model to determine optimal locations for temporary logistics warehouses in central districts of Çorum province within the scope of disaster logistics. The model presents a four-stage approach that evaluates risk factors and operational efficiency together through the integration of set covering and p-median methods. Using microzonation data obtained from 521 drilling points by Çorum Municipality, the criteria of settlement suitability, soil amplification factor, soil bearing capacity, and liquefaction potential were weighted using the ENTROPY method, and neighborhood-based risk scores were calculated using the TOPSIS method. These scores were combined with population data to create composite scores. The model was tested in three different scenarios: security-focused, balanced, and service-focused. Obtaining the same results in all scenarios demonstrates the robust nature of the solution. As a result of the analysis, 7 warehouse locations were determined in Bahçelievler, Buharaevler, Gülabibey, Kale, Mimarsinan, Ulukavak, and Üçtutlar neighborhoods with an optimal coverage distance of 2,0 km. The model achieved 100% coverage ratio, 0,3 km average service distance, and 60,1% capacity utilization rate. This study presents original contributions to the literature in terms of integrating scientific microzonation data into optimization models and applying hybrid approaches to disaster logistics.
Özet
Bu çalışmada, afet lojistiği kapsamında Çorum ili merkez mahallelerinde geçici lojistik depoların optimal yerlerini belirlemek amacıyla hibrit çok amaçlı bir optimizasyon modeli geliştirilmiştir. Model, küme kapsama ve p-medyan yöntemlerinin entegrasyonu ile risk faktörlerini ve operasyonel verimliliği birlikte değerlendiren dört aşamalı bir yaklaşım sunmaktadır. Çorum Belediyesi’nin 521 sondaj noktasından elde edilen mikrobölgeleme verileri kullanılarak, yerleşime uygunluk, zemin büyütme faktörü, zemin dayanım kapasitesi ve sıvılaşma potansiyeli kriterleri ENTROPY yöntemi ile ağırlıklandırılmış, TOPSIS yöntemi ile mahalle bazlı risk skorları hesaplanmıştır. Bu skorlar nüfus verileri ile birleştirilerek kompozit skorlar oluşturulmuştur. Model, güvenlik odaklı, dengeli ve hizmet odaklı olmak üzere üç farklı senaryoda test edilmiştir. Tüm senaryolarda aynı sonuçların elde edilmesi, çözümün dayanıklı nitelikte olduğunu göstermektedir. Analiz sonucunda 2,0 km optimal kapsama mesafesi ile Bahçelievler, Buharaevler, Gülabibey, Kale, Mimarsinan, Ulukavak ve Üçtutlar mahallelerinde 7 depo lokasyonu belirlenmiştir. Model %100 kapsama oranı, 0,3 km ortalama hizmet mesafesi ve %60,1 kapasite kullanım oranı sağlamıştır. Bu çalışma, bilimsel mikrobölgeleme verilerinin optimizasyon modeline entegre edilmesi ve hibrit yaklaşımın afet lojistiği alanına uygulanması açısından literatüre özgün katkılar sunmaktadır.
Cite This Article
References (80)
- AFAD Planlama ve Risk Azaltma Dairesi. (2021). Çorum il afet risk azaltma planı. https://corum.afad.gov.tr/kurumlar/corum.afad/Haberler/2021/Corum_I%CC%87RAP_SON.pdf
- AFAD. (2022). Türkiye afet müdahale planı (TAMP). https://www.afad.gov.tr/kurumlar/afad.gov.tr/e_Kutuphane/Planlar/TAMP.pdf
- Altan, M. F. ve Hastürk, O. (2023). Depremin ardından kentsel dönüşüm, şehir planlaması. Avrasya Dosyası Dergisi, 14(1), 158-182.
- Aydın, H., Ayvaz, B. ve Küçükaşçi, E. Ş. (2017). Afet yönetiminde lojistik depo seçimi problemi: Maltepe ilçesi örneği. Journal of Yasar University, 12 (Özel Sayı), 1–13.
- Balcik, B. ve Beamon, B. M. (2008). Facility location in humanitarian relief. International Journal of Logistics Research and Applications, 11(2), 101–121. https://doi.org/10.1080/13675560701561789
- Bayram, B. ve Eren, T. (2023). Çok kriterli karar verme yöntemleriyle afet sonrası geçici depo yeri seçimi. Aid and Disaster Science, (2), 22–30.
- Boonmee, C. ve Tanpruttianunt, N. (2025). A fuzzy multi-criteria decision framework for community isolation center site selection to enhance public health resilience. Journal of Safety Science and Resilience, 100227. https://doi.org/10.1016/j.jnlssr.2025.100227
- Boonmee, C., Arimura, M. ve Asada, T. (2017). Facility location optimization model for emergency humanitarian logistics. International Journal of Disaster Risk Reduction, 24, 485-498.
- Bozkurt, M. ve Duran, S. (2012). Effects of natural disaster trends: A case study for expanding the pre-positioning network of care international. International Journal of Environmental Research and Public Health, 9(8), 2863–2874. https://doi.org/10.3390/ijerph9082863
- Bozorgi-Amiri, A., Jabalameli, M. S. ve Mirzapour Al-E-Hashem, S. M. J. (2011). A multi-objective robust stochastic programming model for disaster relief logistics under uncertainty. OR Spectrum, 35(4), 905–933. https://doi.org/10.1007/s00291-011-0268-x
- Chen, C.-H. (2020). A novel multi-criteria decision-making model for building material supplier selection based on entropy-ahp weighted topsis. Entropy, 22(2), 259. https://doi.org/10.3390/e22020259
- Chen, C.-H. (2021). A hybrid multi-criteria decision-making approach based on anp-entropy topsis for building materials supplier selection. Entropy, 23(12), 1597. https://doi.org/10.3390/e23121597
- Chen, T., Yang, J., Cong, G. ve Wu, S. (2019). Risk propagation model and its simulation of emergency logistics network based on material reliability. International Journal of Environmental Research and Public Health, 16(23), 4677. https://doi.org/10.3390/ijerph16234677
- Chunlin, D. ve Liu, Y. (2012). Sample average approximation method for chance constrained stochastic programming in transportation model of emergency management. Systems Engineering Procedia, 5, 137–143. https://doi.org/10.1016/j.sepro.2012.04.022
- Church, R. L. ve ReVelle, C. S. (1976). Theoretical and computational links between the p‐median, location set‐covering, and the maximal covering location problem. Geographical Analysis, 8(4), 406–415. https://doi.org/10.1111/j.1538-4632.1976.tb00547.x
- Çorum Belediyesi. (2025). Çorum nüfusu. https://www.corum.bel.tr/corum/corum-nufusu
- Demirel, T., Demirel, N. Ç. ve Kahraman, C. (2009). Multi-criteria warehouse location selection using Choquet integral. Expert Systems with Applications, 37(5), 3943–3952.
- Derse, O. (2022). Dematel tabanlı topsis yöntemi ve küme kapsama modeli ile afet lojistiği için depo yeri seçimi: Ege bölgesi örneği. KSU J Eng Sci, 25(4), 702–713
- Döyen, A., Aras, N. ve Barbarosoğlu, G. (2012). A two-echelon stochastic facility location model for humanitarian relief logistics. Optimization Letters, 6(6), 1123–1145. https://doi.org/10.1007/s11590-011-0421-0
- Duran-Mateluna, C., Ales, Z. ve Elloumi, S. (2023). An efficient benders decomposition for the p-median problem. European Journal of Operational Research, 308(1), 84–96. https://doi.org/10.1016/j.ejor.2022.11.033
- Eberhardt, K., Fuchß, P., Kaiser, F. K., Rosenberg, S. ve Schultmann, F. (2025). Stochastic network optimization for strategic resource pre-positioning and allocation. International Journal of Production Economics, 287 (November 2024), 109679. https://doi.org/10.1016/j.ijpe.2025.109679
- EM-DAT. (2025). The international disaster database. Centre for Research on the Epidemiology of Disasters (CRED). https://public.emdat.be
- Ergün, M., Korucuk, S. ve Memiş, S. (2020). Sürdürülebilir afet lojistiğine yönelik ideal afet depo yeri seçimi: Giresun ili örneği. Çanakkale Onsekiz Mart Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 6(1), 144–165. https://doi.org/10.28979/comufbed.686301
- Ergün, S., Weber, G. W., Alparslan Gök, S. Z. ve Usta, P. (2021). A game theoretical approach to emergency logistics planning in natural disasters. Annals of Operations Research, 324(1–2), 855–868. https://doi.org/10.1007/s10479-021-04099-9
- Feng, Z., Li, G., Wang, W., Zhang, L., Xiang, W., He, X., Zhang, M. ve Wei, N. (2023). Emergency logistics centers site selection by multi-criteria decision-making and gis. International Journal of Disaster Risk Reduction, 96, 103921. https://doi.org/10.1016/j.ijdrr.2023.103921
- Fleszar, K. ve Hindi, K. S. (2008). An effective VNS for the capacitated p-median problem. European Journal of Operational Research, 191(3), 612-622.
- Gao, Y., Ding, X. ve Yu, W. (2024). Distributional robustness based on Wasserstein-metric approach for humanitarian logistics problem under road disruptions. Operations
- Research Perspectives, 13(April), 100317. https://doi.org/10.1016/j.orp.2024.100317
- Gök, M., Toklu, R., Güven, E. ve Eren, T. (2024). Afet lojistiğinde depo yer seçimi. Resilience, 8(2), 123–138. https://doi.org/10.32569/resilience.1473880
- Görmez, N., Köksalan, M. ve Salman, F. S. (2011). Locating disaster response facilities in Istanbul. Journal of the Operational Research Society, 62(7), 1239–1252. https://doi.org/10.1057/jors.2010.67
- Gözaydın, O. ve Can, T. (2013). Deprem yardım istasyonları için lojistik merkezi seçimi: Türkiye örneği. Havacılık ve Uzay Teknolojileri Dergisi, 6(2), 17–31.
- Gözükızıl, C., A. ve Tezcan, S., (2023), Cumhuriyet’in yüzüncü yılında Türkiye’de afetler: 06 Şubat 2023 Kahramanmaraş depremleri. Kent Akademisi Dergisi 16(Special Issue for the 100th Anniversary of the Republic of Turkey), 97-114. https://doi.org/10.35674/kent.1353445
- Guan, X., Zhou, H., Li, M., Zhou, L. ve Chen, H. (2021). Multilevel coverage location model of earthquake relief material storage repository considering distribution time sequence characteristics. Journal of Traffic and Transportation Engineering (English Edition), 8(2), 209–224. https://doi.org/10.1016/j.jtte.2020.12.004
- Guo, Y. ve Matsuda, T. (2023). Study on the multi-criteria location decision of wide-area distribution centers in pre-disaster: Case of an earthquake in the Kanto district of Japan. Asian Transport Studies, 9(December 2022), 100107. https://doi.org/10.1016/j.eastsj.2023.100107
- Hale, T. ve Moberg, C. R. (2005). Improving supply chain disaster preparedness: A decision process for secure site location. International Journal of Physical Distribution and Logistics Management, 35(3), 195-207.
- Hong, X., Lejeune, M. A. ve Noyan, N. (2015). Stochastic network design for disaster preparedness. IIE Transactions (Institute of Industrial Engineers), 47(4), 329–357. https://doi.org/10.1080/0740817X.2014.919044
- Huang, M., Smilowitz, K. ve Balcik, B. (2011). Models for relief routing: Equity, efficiency and efficacy. Procedia-Social and Behavioral Sciences, 17, 416–437. https://doi.org/10.1016/j.sbspro.2011.04.525
- İller Bankası Anonim Şirketi Mekânsal Planlama Dairesi Başkanlığı. (2017). Çorum (merkez) belediyesi 31.093 hektarlık alanın imar planına esas mikrobölgeleme etüt raporu.
- Jankowski, P. (1995). Integrating geographical information systems and multiple criteria decision-making methods. International Journal of Geographical Information Systems, 9(3), 251–273. https://doi.org/10.1080/02693799508902036
- Jeevan, J., Md Hanafiah, R., Mohd Salleh, N. H. ve Ngah, A. H. (2020). Emergence of emergency logistics centre (ELC): Humanitarian logistics operations at the Straits of Malacca. Transactions on Maritime Science, 9(2). https://doi.org/10.7225/toms.v09.n02.011
- Jia, H., Ordóñez, F. ve Dessouky, M. M. (2007). Solution approaches for facility location of medical supplies for large-scale emergencies. Computers and Industrial Engineering, 52(2), 257–276. https://doi.org/10.1016/j.cie.2006.12.007
- Kaur, H. ve Singh, S. P. (2016). Sustainable procurement and logistics for disaster resilient supply chain. Annals of Operations Research, 283(1–2), 309–354. https://doi.org/10.1007/s10479-016-2374-2
- Khalilpoor, S., Kamran, M. A. ve Solimanpur, M. (2025). Resilient COVID-19 vaccine supply chain: An optimization and simulation approach for multi-objective management. Transportation Research Part E: Logistics and Transportation Review, 201(September 2024), 104168. https://doi.org/10.1016/j.tre.2025.104168
- Li, T., Fei, L. ve Sun, J. (2025). Application of multiple-criteria decision-making technology in emergency decision-making: Uncertainty, heterogeneity, dynamicity, and interaction. Mathematics, 13(5), 731. https://doi.org/10.3390/math13050731
- Liu, C., Chen, Z. H. ve Gong, Y. Y. (2013). Site selection of emergency material warehouse under fuzzy environment. Journal of Central South University, 20(6), 1610–1615. https://doi.org/10.1007/s11771-013-1653-1
- Maden Tetkik ve Arama Genel Müdürlüğü. (2013). Yenilenmiş Türkiye diri fay haritaları. https://www.mta.gov.tr/v3.0/hizmetler/yenilenmis-diri-fay-haritalari
- Maharjan, R. ve Hanaoka, S. (2017). Warehouse location determination for humanitarian relief distribution in Nepal. Transportation Research Procedia, 25, 1151–1163. https://doi.org/10.1016/j.trpro.2017.05.128
- McCoy, J. (2008). Humanitarian response: Improving logistics to save lives. American Journal of Disaster Medicine, 3(5).
- Mete, H. O. ve Zabinsky, Z. B. (2010). Stochastic optimization of medical supply location and distribution in disaster management. International Journal of Production Economics, 126(1), 76–84. https://doi.org/10.1016/j.ijpe.2009.10.004
- Mittal, R. ve Obaid, A. (2023). Sustainable warehouse location selection in humanitarian supply chain: Multi-criteria decision-making approach. International Journal of Mathematical, Engineering and Management Sciences, 8(2), 316–335. https://doi.org/10.33889/ijmems.2023.8.2.019
- Mohammadi, R., Ghomi, S. M. T. F. ve Jolai, F. (2016). Prepositioning emergency earthquake response supplies: A new multi-objective particle swarm optimization algorithm. Applied Mathematical Modelling, 40(9–10), 5183–5199. https://doi.org/10.1016/j.apm.2015.10.022
- Mukhametzyanov, I. (2021). Specific character of objective methods for determining weights of criteria in MCDM problems: Entropy, critic and sd. Decision Making: Applications in Management and Engineering, 4(2), 76–105. https://doi.org/10.31181/dmame210402076i
- Nong, T. N. M. (2022). A hybrid model for distribution center location selection. Asian Journal of Shipping and Logistics, 38(1), 40–49. https://doi.org/10.1016/j.ajsl.2021.10.003
- Ofluoğlu, A., Baki, B. ve Ar, İ. M. (2017). Multi-criteria decision analysis model for warehouse location in disaster logistics. Journal of Management, Marketing and Logistics, 4(2), 89–106. https://izlik.org/JA97CR58WC
- Peker, İ., Korucuk, S., Ulutaş, Ş., Sayın Okatan, B. ve Yaşar, F. (2016). Afet lojistiği kapsamında en uygun dağıtım merkez yerinin ahs-vikor bütünleşik yöntemi ile belirlenmesi: Erzincan ili örneği. Yönetim ve Ekonomi Araştırmaları Dergisi, 14(1), 82–103. https://izlik.org/JA73SB83XE
- Qezelbash-Chamak, J., Badamchizadeh, S. ve Seifi, A. (2023). A fast-response mathematical programming approach for delivering disaster relief goods: An earthquake case study. Transportation Letters, 16(9), 1091–1114. https://doi.org/10.1080/19427867.2023.2270238
- Rath, S. ve Gutjahr, W. J. (2014). A math-heuristic for the warehouse location-routing problem in disaster relief. Computers and Operations Research, 42, 25–39. https://doi.org/10.1016/j.cor.2011.07.016
- Rawls, C. G. ve Turnquist, M. A. (2011). Pre-positioning planning for emergency response with service quality constraints. OR Spectrum, 33(3), 481–498. https://doi.org/10.1007/s00291-011-0248-1
- Rennemo, S. J., Rø, K. F., Hvattum, L. M. ve Tirado, G. (2014). A three-stage stochastic facility routing model for disaster response planning. Transportation Research Part E: Logistics and Transportation Review, 62, 116–135. https://doi.org/10.1016/j.tre.2013.12.006
- Rodríguez-Espíndola, O., Ahmadi, H., Gastélum-Chavira, D., Ahumada-Valenzuela, O., Chowdhury, S., Dey, P. K. ve Albores, P. (2023). Humanitarian logistics optimization models: an investigation of decision-maker involvement and directions to promote implementation. Socio-Economic Planning Sciences, 89, 101669. https://doi.org/10.1016/j.seps.2023.101669
- Roh, S. Y., Shin, Y. R. ve Seo, Y. J. (2018). The Pre-positioned warehouse location selection for international humanitarian relief logistics. Asian Journal of Shipping and Logistics, 34(4), 297–307. https://doi.org/10.1016/j.ajsl.2018.12.003
- Roh, S.-Y., Jang, H.-M. ve Han, C.-H. (2013). Warehouse location decision factors in humanitarian relief logistics. The Asian Journal of Shipping and Logistics, 29(1), 103–120. https://doi.org/10.1016/j.ajsl.2013.05.006
- Salman, F. S. ve Yücel, E. (2015). Emergency facility location under random network damage: Insights from the Istanbul case. Computers and Operations Research, 62, 266–281. https://doi.org/10.1016/j.cor.2014.07.015
- Sheu, J.-B. (2007). An emergency logistics distribution approach for quick response to urgent relief demand in disasters. Transportation Research Part E: Logistics and Transportation Review, 43(6), 687–709. https://doi.org/10.1016/j.tre.2006.04.004
- Soto, R., Lizama, S., Crawford, B., Galleguillos, C., Vilches, J., Muñoz, A., Misra, S., Barraza, J. ve Paredes, F. (2015). Comparing cuckoo search, bee colony, firefly optimization, and electromagnetism-like algorithms for solving the set covering problem. Computational Science and Its Applications—ICCSA 2015 içinde (ss. 187–202). Springer. https://doi.org/10.1007/978-3-319-21404-7_14
- Tarantilis, C. D., Spinellis, D. ve Gendreau, M. (2005). Guest editors’ introduction: Advanced heuristics in transportation and logistics. IEEE Intelligent Systems, 20(4), 16–18. https://doi.org/10.1109/mis.2005.71
- T.C. Cumhurbaşkanlığı Strateji ve Bütçe Başkanlığı. (2023, Mart). 2023 Kahramanmaraş ve Hatay Depremleri raporu. https://www.sbb.gov.tr/2023-kahramanmaras-ve-hatay-depremleri-raporu/
- Tezcan, B., Alakaş, H. M., Özcan, E. ve Eren, T. (2023). Afet sonrası geçici depo yeri seçimi ve çok araçlı araç rotalama uygulaması: Kırıkkale ilinde bir uygulama. Politeknik Dergisi, 26(1), 13–27. https://doi.org/10.2339/politeknik.906704
- Tovia, F. (2007). An emergency logistics response system for natural disasters. International Journal of Logistics Research and Applications, 10(3), 173–186. https://doi.org/10.1080/13675560701467177
- Tuğba Turgut, B., Vayvay, O., Herekoğlu, A., Taş, G. ve Tozan, H. (2011). A fuzzy ahp based decision support system for disaster center location selection and a case study for Istanbul. Disaster Prevention and Management: An International Journal, 20(5), 499–520. https://doi.org/10.1108/09653561111178943
- Türk Mühendis ve Mimar Odaları Birliği. (2023). TMMOB Kahramanmaraş depremleri raporu. https://www.tmmob.org.tr/sites/default/files/tmmob_deprem_raporu_son_4agustos-part-2-2.pdf
- Tzeng, G.-H. ve Huang, J.-J. (2011). Multiple attribute decision making: Methods and applications. Chapman and Hall/CRC. https://doi.org/10.1201/b11032
- Wang, D., Peng, J., Yang, H., Cheng, T. C. E. ve Yang, Y. (2023). Distributionally robust location-allocation with demand and facility disruption uncertainties in emergency logistics. Computers & Industrial Engineering, 184, 109617. https://doi.org/10.1016/j.cie.2023.109617
- Wang, Y., Xu, G., Zhang, W. ve Zhou, Z. (2020). Location analysis of earthquake relief warehouses: Evaluating the efficiency of location combinations by dea. Emerging Markets Finance and Trade, 56(8), 1752–1764. https://doi.org/10.1080/1540496X.2019.1663167
- Xiong Wei, Qiuyan, S. ve Jinlong, L. (2012). The group decision-making rules based on rough sets on large scale engineering emergency. Systems Engineering Procedia, 4(90924010), 331–337. https://doi.org/10.1016/j.sepro.2011.11.083
- Xu, W., Lu, Y. ve Proverbs, D. (2023). An evaluation of factors influencing the vulnerability of emergency logistics supply chains. International Journal of Logistics Research and Applications, 27(10), 1891–1924. https://doi.org/10.1080/13675567.2023.2209030
- Yakici, E. ve Karatas, M. (2025). Ant Colony Optimization for solving large-scale bi-level network design problems. Computers and Industrial Engineering, 204(April), 111077. https://doi.org/10.1016/j.cie.2025.111077
- Yi, W. ve Özdamar, L. (2007). A dynamic logistics coordination model for evacuation and support in disaster response activities. European Journal of Operational Research, 179(3), 1177–1193. https://doi.org/10.1016/j.ejor.2005.03.077
- Zhao, X., Chen, J., Xu, W., Du, P. ve Yuan, H. (2019). A three-stage hierarchical model for an earthquake shelter location-allocation problem: Case study of Shanghai, China. International Journal of Disaster Risk Science, 10(2), 236-249. https://doi.org/10.1007/s13753-019-0215-9
- Zhu, Y., Tian, D. ve Yan, F. (2020). Effectiveness of entropy weight method in decision-making. Mathematical Problems in Engineering, 2020, 3564835. https://doi.org/10.1155/2020/3564835