Araştırma Makalesi
BibTex RIS Kaynak Göster

Yıl 2025, Cilt: 6 Sayı: 1, 18 - 35, 30.06.2025

Tuğçe Doğu , Hacı Mehmet Alakaş

https://doi.org/10.52114/apjhad.1640075

Öz

Proje Numarası

Project number 2023/173.

Kaynakça

  • J. Holguín-Veras J., N. Pérez, M. Jaller, L.N. Van Wassenhove and F. Aros-Vera, “On the appropriate objective function for post-disaster humanitarian logistics models”, Journal of Operations Management, vol. 31, pp. 262-280, 2013. https://doi.org/10.1016/j.jom.2013.06.002.
  • M. Alegoz, M. Acar and F. S. Salman, “Value of sorting and recovery in post-disaster relief aid distribution”, Omega, vol. 122, pp. 1-14, 2024. https://doi.org/10.1016/j.omega.2023.102946.
  • A. Thomas and L. R. Kopczak, “Life-saving supply chains: Challenges and the path forward”, In Building supply chain excellence in emerging economies, pp 93-111, 2007.
  • L. Yáñez-Sandivari, C. E. Cortés and P. A. Rey, “Humanitarian logistics and emergencies management: New perspectives to a sociotechnical problem and its optimization approach management”, International Journal of Disaster Risk Reduction, vol. 52, pp. 101952, 2021. https://doi.org/10.1016/j.ijdrr.2020.101952.
  • Y. Ye, W. Jiao and H. Yan, “Managing relief inventories responding to natural disasters: Gaps between practice and literature”, Production and Operations Management, vol. 29, pp. 807-832, 2020. https://doi.org/10.1111/poms.13136.
  • D. Zhang, Y. Zhang, S. Li and S. Li, “A novel min–max robust model for post-disaster relief kit assembly and distribution”, Expert Systems With Applications, pp.214, 2023. https://doi.org/10.1016/j.eswa.2022.119198.
  • G. Kovacs and M. Moshtari, “A roadmap for higher research quality in humanitarian operations: A methodological perspective”, European Journal of Operational Research, vol. 5 pp. 395-408, 2019. https://doi.org/10.1016/j.ejor.2018.07.052.
  • S. Iloglu and L. A. Albert, “An integrated network design and scheduling problem for network recovery and emergency response”, Operations Research Perspectives, vol. 5, pp. 218-231, 2018. https://doi.org/10.1016/j.orp.2018.08.001.
  • G. Lu, Y. Xiong, C. Ding and Y. Wang, “An Optimal Schedule for Urban Road Network Repair Based on the Greedy Algorithm”, Plos One, vol. 11, pp. 1-15, 2016. https://doi.org/10.1371/journal.pone.0164780.
  • P. A. Maya Duque, S. Coene, P. Goos, K. Sörensen, F. Spieksma, “The accessibility arc upgrading problem”, European Journal of Operational Research vol. 224, pp. 458–465, 2013. https://doi.org/10.1016/j.ejor.2012.09.005.
  • C. A. Rojas Trejos, J. D. Meisel, W. Adarme Jaimes, “Humanitarian aid distribution logistics with accessibility constraints: a systematic literature review”, Journal of Humanitarian Logistics and Supply Chain Management vol. 13, pp. 26–41, 2023. https://doi.org/10.1108/JHLSCM-05-2021-0041.
  • R. Sakiani, A. Seifi and R. R. Khorshiddoust, “Inventory routing and dynamic redistribution of relief goods in post-disaster operations”, Computers & Industrial Engineering vol. 140, 2020. https://doi.org/10.1016/j.cie.2019.106219.
  • J. Holguín-Veras, E. Taniguchi, F. Ferreira, R. G. Thompson, M. Jaller and F. Aros-Vera, “The Tohoku disasters: Chief lessons concerning the post disaster humanitarian logistics response and policy implications”, Transportation Research Part A: Policy and Practice vol. 69, pp. 86–104, 2014. https://doi.org/10.1016/j.tra.2014.08.003.
  • T. I. Faiz, C. Vogiatzis and M. Noor-E-Alam, “Computational approaches for solving two-echelon vehicle and UAV routing problems for post-disaster humanitarian operations”, Expert Systems with Applications vol. 237, 2024. https://doi.org/10.1016/j.eswa.2023.121473.
  • S. A. Modarresi and M. R. Maleki, “Integrating pre and post-disaster activities for designing an equitable humanitarian relief supply chain”, Computers & Industrial Engineering vol. 181, 2023. https://doi.org/10.1016/j.cie.2023.109342.
  • D. Wang, K. Yang, L. Yang and J. Dong, “Two-stage distributionally robust optimization for disaster relief logistics under option contract and demand ambiguity”, Transportation Research Part E vol. 170, 2023. https://doi.org/10.1016/j.tre.2023.103025.
  • G. Zhang, N. Jia, N. Zhu, L. He and Y. Adulyasak, “Humanitarian transportation network design via two-stage distributionally robust optimization”, Transportation Research Part B: Methodological vol. 176, 2023. https://doi.org/10.1016/j.trb.2023.102805.
  • M. Aghajani, S. Ali Torabi and N. Altay, “Resilient relief supply planning using an integrated procurement-warehousing model under supply disruption”, Omega vol. 118, 2023. https://doi.org/10.1016/j.omega.2023.102871.
  • H. A. Choukolaei, P. Ghasemi and F. Goodarzian, “Evaluating the efficiency of relief centers in disaster and epidemic conditions using multi-criteria decision-making methods and GIS: A case study”, International Journal of Disaster Risk Reduction vol. 85, 2023. https://doi.org/10.1016/j.ijdrr.2022.103512.
  • M. A. Farzaneh, S. Rezapour, A. Baghaian and M. H. Amini, “An integrative framework for coordination of damage assessment, road restoration, and relief distribution in disasters”, Omega vol. 115, 2023. https://doi.org/10.1016/j.omega.2022.102748.
  • S. Hu, Q. Hu, S. Tao and Z. S. Dong, "A multi-stage stochastic programming approach for pre-positioning of relief supplies considering returns”, Socio-Economic Planning Sciences vol. 88, 2023. https://doi.org10.1016/j.seps.2023.101617.
  • P. Mohan, S. Disasters, “disaster preparedness and post disaster recovery: Evidence from Caribbean firms”, International Journal of Disaster Risk Reduction vol. 92, 2023. https://doi.org/10.1016/j.ijdrr.2023.103731.
  • T. Vishwanath, R. D. Shirwaikar, W. M. Jaiswal and M. Yashaswini, “Social media data extraction for disaster management aid using deep learning techniques”, Remote Sensing Applications: Society and Environment vol. 30, 2023. https://doi.org/10.1016/j.rsase.2023.100961.
  • W. Wang, K. Yang, L. Yang and Z. Gao, “Distributionally robust chance-constrained programming for multi-period emergency resource allocation and vehicle routing in disaster response operations”, Omega vol. 120, 2023. https://doi.org/10.1016/j.omega.2023.102915.
  • S. L. Wang and B. Q. Sun, “Model of multi-period emergency material allocation for large-scale sudden natural disasters in humanitarian logistics: Efficiency, effectiveness and equity”, International Journal of Disaster Risk Reduction vol. 85, pp. 103530, 2023. https://doi.org/10.1016/j.ijdrr.2023.103530.
  • K.-H. Chang, Y.-C. Chiang and T.-Y. Chang, “Simultaneous location and vehicle fleet sizing of relief goods distribution centers and vehicle routing for post-disaster logistics”, Computers and Operations Research vol. 161, 2024. https://doi.org/10.1016/j.cor.2023.106404.
  • M. Daneshvar, S. D. Jena and W. Rei, “A two-stage stochastic post-disaster humanitarian supply chain network design problem”, Computers and Industrial Engineering vol. 183, 2023. https://doi.org/10.1016/j.cie.2023.109459.
  • R. Kawase and T. Iryo, “Optimal stochastic inventory-distribution strategy for damaged multi-echelon humanitarian logistics network”, European Journal of Operational Research vol. 309, pp. 616–633, 2023. https://doi.org/10.1016/j.ejor.2023.01.048.
  • L. R. Mota-Santiago, A. Lozano and A. E. Ortiz-Valera, “Determination of disaster scenarios for estimating relief demand to develop an early response to an earthquake disaster in urban areas of developing countries”, International Journal of Disaster Risk Reduction vol. 87, 2023. https://doi.org/10.1016/j.ijdrr.2023.103570.
  • A. Sadeghi, R. YounesSinaki, F. Aros-Vera and H. Mosadegh, “Social cost-vehicle routing problem and its application to the delivery of water in post-disaster humanitarian logistics”, Transportation Research Part E: Logistics and Transportation Review vol. 176, 2023. https://doi.org/10.1016/j.tre.2023.103189.
  • D. Wang, J. Peng, H. Yang, T. C. E. Cheng and Y. Yang, “Distributionally robust location-allocation with demand and facility disruption uncertainties in emergency logistics”, Computers and Industrial Engineering vol. 184, 2023. https://doi.org/10.1016/j.cie.2023.109617.
  • Türkiye Afet ve Acil Durum Yönetimi Başkanlığı (AFAD. İl Risk Azaltma Planı (İRAP) Bingöl 2021. https://bingol.afad.gov.tr/kurumlar/bingol.afad/E-Kutuphane/Il-Planlari/BINGOL-AFAD-IRAP-2012.pdf
  • Topal B. Türkiye Afet Lojistik Yönetim Sistemi Üzerine Bir Değerlendirme. In International Symposium on Environment and Morality pp. 4-6, 2016.
  • Türkiye’de Afet Lojistiği. Lojistik Bilimi, 2023. https://lojistikbilimi.com/turkiyede-afet-lojistigi/
  • B. Topal, “Afet lojistik yönetim sistemlerinin incelenmesi ve yeni model tasarımı”. 2015. Master's Thesis. Sakarya Universitesi (Turkey).
  • Z. Yüksel, D. E. Epcim and S. Mete, (2024). “Multi-Depot vehicle routing problem with drone collaboration in humanitarian logistic”, Journal of Optimization and Decision Making, vol. 3 no. 1, pp. 438-448, 2024.

Effective Distribution of Primary Relief Supplies in Post-Disaster Scenarios

Yıl 2025, Cilt: 6 Sayı: 1, 18 - 35, 30.06.2025

Tuğçe Doğu , Hacı Mehmet Alakaş

https://doi.org/10.52114/apjhad.1640075

Öz

The frequency, severity, and impact of natural disasters are increasing globally, posing significant risks to both human lives and economic systems. Rising population density and the expansion of high-risk areas have further exacerbated the destructive consequences of these events. Earthquakes, in particular, represent a critical threat to densely populated regions, requiring the development of effective disaster response strategies. In this study, an optimization model was developed to ensure the fastest and most efficient delivery of aid materials stored in AFAD warehouses to the affected regions of Bingöl. In order to better represent local aid demands, Bingöl province was divided into 52 regions based on neighborhood proximity and population density. To avoid logistical complexity, the model ensures that each region receives aid from a single warehouse. It optimizes the timely and accurate distribution of five aid types (tents, beds, bed sets, heaters, and kitchen sets) by considering warehouse capacities, locations, available resources, geographical accessibility, and road conditions. The model was tested under two different scenarios to determine optimal warehouse-to-region assignments and was solved using IBM ILOG CPLEX software. According to the results, a total of 470,271 aid items were delivered using 525 vehicles, with each vehicle serving an average of 377 people. In this context, the model aims to accelerate post-disaster response, prevent potential complexity in aid distribution, and minimize human losses.

Anahtar Kelimeler

Disaster management AFAD warehouses emergency logistics humanitarian logistics optimization

Destekleyen Kurum

Scientific Research Projects Coordination Unit of Kırıkkale University (Project number: 2023/173)

Proje Numarası

Project number 2023/173.

Teşekkür

This work was supported by Scientific Research Projects Coordination Unit of Kırıkkale University.

Kaynakça

  • J. Holguín-Veras J., N. Pérez, M. Jaller, L.N. Van Wassenhove and F. Aros-Vera, “On the appropriate objective function for post-disaster humanitarian logistics models”, Journal of Operations Management, vol. 31, pp. 262-280, 2013. https://doi.org/10.1016/j.jom.2013.06.002.
  • M. Alegoz, M. Acar and F. S. Salman, “Value of sorting and recovery in post-disaster relief aid distribution”, Omega, vol. 122, pp. 1-14, 2024. https://doi.org/10.1016/j.omega.2023.102946.
  • A. Thomas and L. R. Kopczak, “Life-saving supply chains: Challenges and the path forward”, In Building supply chain excellence in emerging economies, pp 93-111, 2007.
  • L. Yáñez-Sandivari, C. E. Cortés and P. A. Rey, “Humanitarian logistics and emergencies management: New perspectives to a sociotechnical problem and its optimization approach management”, International Journal of Disaster Risk Reduction, vol. 52, pp. 101952, 2021. https://doi.org/10.1016/j.ijdrr.2020.101952.
  • Y. Ye, W. Jiao and H. Yan, “Managing relief inventories responding to natural disasters: Gaps between practice and literature”, Production and Operations Management, vol. 29, pp. 807-832, 2020. https://doi.org/10.1111/poms.13136.
  • D. Zhang, Y. Zhang, S. Li and S. Li, “A novel min–max robust model for post-disaster relief kit assembly and distribution”, Expert Systems With Applications, pp.214, 2023. https://doi.org/10.1016/j.eswa.2022.119198.
  • G. Kovacs and M. Moshtari, “A roadmap for higher research quality in humanitarian operations: A methodological perspective”, European Journal of Operational Research, vol. 5 pp. 395-408, 2019. https://doi.org/10.1016/j.ejor.2018.07.052.
  • S. Iloglu and L. A. Albert, “An integrated network design and scheduling problem for network recovery and emergency response”, Operations Research Perspectives, vol. 5, pp. 218-231, 2018. https://doi.org/10.1016/j.orp.2018.08.001.
  • G. Lu, Y. Xiong, C. Ding and Y. Wang, “An Optimal Schedule for Urban Road Network Repair Based on the Greedy Algorithm”, Plos One, vol. 11, pp. 1-15, 2016. https://doi.org/10.1371/journal.pone.0164780.
  • P. A. Maya Duque, S. Coene, P. Goos, K. Sörensen, F. Spieksma, “The accessibility arc upgrading problem”, European Journal of Operational Research vol. 224, pp. 458–465, 2013. https://doi.org/10.1016/j.ejor.2012.09.005.
  • C. A. Rojas Trejos, J. D. Meisel, W. Adarme Jaimes, “Humanitarian aid distribution logistics with accessibility constraints: a systematic literature review”, Journal of Humanitarian Logistics and Supply Chain Management vol. 13, pp. 26–41, 2023. https://doi.org/10.1108/JHLSCM-05-2021-0041.
  • R. Sakiani, A. Seifi and R. R. Khorshiddoust, “Inventory routing and dynamic redistribution of relief goods in post-disaster operations”, Computers & Industrial Engineering vol. 140, 2020. https://doi.org/10.1016/j.cie.2019.106219.
  • J. Holguín-Veras, E. Taniguchi, F. Ferreira, R. G. Thompson, M. Jaller and F. Aros-Vera, “The Tohoku disasters: Chief lessons concerning the post disaster humanitarian logistics response and policy implications”, Transportation Research Part A: Policy and Practice vol. 69, pp. 86–104, 2014. https://doi.org/10.1016/j.tra.2014.08.003.
  • T. I. Faiz, C. Vogiatzis and M. Noor-E-Alam, “Computational approaches for solving two-echelon vehicle and UAV routing problems for post-disaster humanitarian operations”, Expert Systems with Applications vol. 237, 2024. https://doi.org/10.1016/j.eswa.2023.121473.
  • S. A. Modarresi and M. R. Maleki, “Integrating pre and post-disaster activities for designing an equitable humanitarian relief supply chain”, Computers & Industrial Engineering vol. 181, 2023. https://doi.org/10.1016/j.cie.2023.109342.
  • D. Wang, K. Yang, L. Yang and J. Dong, “Two-stage distributionally robust optimization for disaster relief logistics under option contract and demand ambiguity”, Transportation Research Part E vol. 170, 2023. https://doi.org/10.1016/j.tre.2023.103025.
  • G. Zhang, N. Jia, N. Zhu, L. He and Y. Adulyasak, “Humanitarian transportation network design via two-stage distributionally robust optimization”, Transportation Research Part B: Methodological vol. 176, 2023. https://doi.org/10.1016/j.trb.2023.102805.
  • M. Aghajani, S. Ali Torabi and N. Altay, “Resilient relief supply planning using an integrated procurement-warehousing model under supply disruption”, Omega vol. 118, 2023. https://doi.org/10.1016/j.omega.2023.102871.
  • H. A. Choukolaei, P. Ghasemi and F. Goodarzian, “Evaluating the efficiency of relief centers in disaster and epidemic conditions using multi-criteria decision-making methods and GIS: A case study”, International Journal of Disaster Risk Reduction vol. 85, 2023. https://doi.org/10.1016/j.ijdrr.2022.103512.
  • M. A. Farzaneh, S. Rezapour, A. Baghaian and M. H. Amini, “An integrative framework for coordination of damage assessment, road restoration, and relief distribution in disasters”, Omega vol. 115, 2023. https://doi.org/10.1016/j.omega.2022.102748.
  • S. Hu, Q. Hu, S. Tao and Z. S. Dong, "A multi-stage stochastic programming approach for pre-positioning of relief supplies considering returns”, Socio-Economic Planning Sciences vol. 88, 2023. https://doi.org10.1016/j.seps.2023.101617.
  • P. Mohan, S. Disasters, “disaster preparedness and post disaster recovery: Evidence from Caribbean firms”, International Journal of Disaster Risk Reduction vol. 92, 2023. https://doi.org/10.1016/j.ijdrr.2023.103731.
  • T. Vishwanath, R. D. Shirwaikar, W. M. Jaiswal and M. Yashaswini, “Social media data extraction for disaster management aid using deep learning techniques”, Remote Sensing Applications: Society and Environment vol. 30, 2023. https://doi.org/10.1016/j.rsase.2023.100961.
  • W. Wang, K. Yang, L. Yang and Z. Gao, “Distributionally robust chance-constrained programming for multi-period emergency resource allocation and vehicle routing in disaster response operations”, Omega vol. 120, 2023. https://doi.org/10.1016/j.omega.2023.102915.
  • S. L. Wang and B. Q. Sun, “Model of multi-period emergency material allocation for large-scale sudden natural disasters in humanitarian logistics: Efficiency, effectiveness and equity”, International Journal of Disaster Risk Reduction vol. 85, pp. 103530, 2023. https://doi.org/10.1016/j.ijdrr.2023.103530.
  • K.-H. Chang, Y.-C. Chiang and T.-Y. Chang, “Simultaneous location and vehicle fleet sizing of relief goods distribution centers and vehicle routing for post-disaster logistics”, Computers and Operations Research vol. 161, 2024. https://doi.org/10.1016/j.cor.2023.106404.
  • M. Daneshvar, S. D. Jena and W. Rei, “A two-stage stochastic post-disaster humanitarian supply chain network design problem”, Computers and Industrial Engineering vol. 183, 2023. https://doi.org/10.1016/j.cie.2023.109459.
  • R. Kawase and T. Iryo, “Optimal stochastic inventory-distribution strategy for damaged multi-echelon humanitarian logistics network”, European Journal of Operational Research vol. 309, pp. 616–633, 2023. https://doi.org/10.1016/j.ejor.2023.01.048.
  • L. R. Mota-Santiago, A. Lozano and A. E. Ortiz-Valera, “Determination of disaster scenarios for estimating relief demand to develop an early response to an earthquake disaster in urban areas of developing countries”, International Journal of Disaster Risk Reduction vol. 87, 2023. https://doi.org/10.1016/j.ijdrr.2023.103570.
  • A. Sadeghi, R. YounesSinaki, F. Aros-Vera and H. Mosadegh, “Social cost-vehicle routing problem and its application to the delivery of water in post-disaster humanitarian logistics”, Transportation Research Part E: Logistics and Transportation Review vol. 176, 2023. https://doi.org/10.1016/j.tre.2023.103189.
  • D. Wang, J. Peng, H. Yang, T. C. E. Cheng and Y. Yang, “Distributionally robust location-allocation with demand and facility disruption uncertainties in emergency logistics”, Computers and Industrial Engineering vol. 184, 2023. https://doi.org/10.1016/j.cie.2023.109617.
  • Türkiye Afet ve Acil Durum Yönetimi Başkanlığı (AFAD. İl Risk Azaltma Planı (İRAP) Bingöl 2021. https://bingol.afad.gov.tr/kurumlar/bingol.afad/E-Kutuphane/Il-Planlari/BINGOL-AFAD-IRAP-2012.pdf
  • Topal B. Türkiye Afet Lojistik Yönetim Sistemi Üzerine Bir Değerlendirme. In International Symposium on Environment and Morality pp. 4-6, 2016.
  • Türkiye’de Afet Lojistiği. Lojistik Bilimi, 2023. https://lojistikbilimi.com/turkiyede-afet-lojistigi/
  • B. Topal, “Afet lojistik yönetim sistemlerinin incelenmesi ve yeni model tasarımı”. 2015. Master's Thesis. Sakarya Universitesi (Turkey).
  • Z. Yüksel, D. E. Epcim and S. Mete, (2024). “Multi-Depot vehicle routing problem with drone collaboration in humanitarian logistic”, Journal of Optimization and Decision Making, vol. 3 no. 1, pp. 438-448, 2024.
Toplam 36 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Afet ve Acil Durum Yönetimi
Bölüm Research Articles
Yazarlar

Tuğçe Doğu 0000-0001-5692-4470

Hacı Mehmet Alakaş 0000-0002-9874-7588

Proje Numarası Project number 2023/173.
Yayımlanma Tarihi 30 Haziran 2025
Gönderilme Tarihi 14 Şubat 2025
Kabul Tarihi 2 Mayıs 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 6 Sayı: 1

Kaynak Göster

IEEE T. Doğu ve H. M. Alakaş, “Effective Distribution of Primary Relief Supplies in Post-Disaster Scenarios”, APJHAD, c. 6, sy. 1, ss. 18–35, 2025, doi: 10.52114/apjhad.1640075.
 Kapak Resmi İndir
Academic Platform Journal of Natural Hazards and Disaster Management (APJHAD)