Abstract
One of the new pre-disaster activities in Türkiye is to locate the neighborhood disaster stations (i.e., containers) that contain emergency relief items like tents, medicines and canned goods so that people can take the relief items inside them. After a disaster, people should reach to these items easily and quickly. Therefore, locating the disaster stations in the right locations is important. Moreover, emergency relief items inside the disaster stations have an expiration date. Therefore, they need to be replenished periodically to be usable after a disaster. To the best of our knowledge, there is no study in the literature that considers the location problem of disaster stations and the replenishment problem of perishable relief items that are inside the disaster stations simultaneously. Therefore, in this study, the location and replenishment problems of the neighborhood disaster stations are studied. A MILP model is developed for solving the stated problem. The primary goal is to decide the locations of the disaster stations, which will minimize the maximum distance between a post-disaster assembly area and the nearest disaster station. The second objective is to create routes that will minimize the total transportation cost in the replenishment process of the items. Optimal solution is obtained by using the proposed model for solving a small instance in IBM ILOG CPLEX 12.9 and the model is verified. Moreover, a case study is performed by using the real data of Buca/Izmir, and computational studies are done for evaluating the performance of the model.
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References
Abbaszadeh Sori A, Ebrahimnejad A, Motameni H (2020) Elite artificial bees’ colony algorithm to solve robot’s fuzzy constrained routing problem. Comput Intell 36(2):659–681
Abazari SR, Aghsami A, Rabbani M (2021) Prepositioning and distributing relief items in humanitarian logistics with uncertain parameters. Socioecon Plann Sci 74:100933
AFAD (2022) https://en.afad.gov.tr/about-us. Accessed 28 Oct 2022
Arslan HM, Yıldız MS, Uysal HT (2015) Application of fuzzy TOPSIS method on location selection of educational facilities: a location analysis in Düzce. J Int Soc Res 8(36):763–773
Arslan HM (2017) Optimum locating of disaster containers. Int J Bus Manag Invention 6(12):74–80
Bagheri M, Ebrahimnejad A, Razavyan S, Hosseinzadeh Lotfi F, Malekmohammadi N (2022) Fuzzy arithmetic DEA approach for fuzzy multi-objective transportation problem. Oper Res, 1–31
Buca Municipality (2022) http://buca.bel.tr/Hizmetlerimiz/13/toplanma-alanlari/sivil-savunma.html. Accessed 28 Oct 2022
Community Disaster Cache Planning Guide (2021) https://seagrant.oregonstate.edu/sites/seagrant.oregonstate.edu/files/tsunamidisastercacheplanningguide.pdf. Accessed 18 Aug 2023
Çiçekdağı Hİ, Kırış Ş (2012) Afet İstasyonu ve Toplanma Merkezi için Yer Seçimi ve Bir Uygulama. Dumlupınar Üniversitesi Fen Bilimleri Enstitüsü Dergisi 28:67–76
Daskin M (2013) Network and discrete location: models, algorithms, and applications, 2nd edn. Wiley, Hoboken
Demirbas S, Ertem MA (2021) Determination of equivalent warehouses in humanitarian logistics by reallocation of multiple item type inventories. Int J Disaster Risk Reduct 66:102603
Di Caprio D, Ebrahimnejad A, Alrezaamiri H, Santos-Arteaga FJ (2022) A novel ant colony algorithm for solving shortest path problems with fuzzy arc weights. Alex Eng J 61(5):3403–3415
Ebrahimnejad A, Verdegay JL (2014) A novel approach for sensitivity analysis in linear programs with trapezoidal fuzzy numbers. J Intell Fuzzy Syst 27(1):173–185
Ertem MA, Akdogan MA, Kahya M (2022) Intermodal transportation in humanitarian logistics with an application to a Turkish network using retrospective analysis. Int J Disaster Risk Reduct 72:102828
Ghasemi P, Goodarzian F, Abraham A (2022) A new humanitarian relief logistic network for multi-objective optimization under stochastic programming. Appl Intell 1–34
Golabi M, Shavarani SM, Izbirak G (2017) An edge-based stochastic facility location problem in UAV-supported humanitarian relief logistics: a case study of Tehran earthquake. Nat Hazards 87(3):1545–1565
Gökçe MA, Ercan E (2019) Multi-period vehicle routing & replenishment problem of neighbourhood disaster stations for pre-disaster humanitarian relief logistics. IFAC-PapersOnLine 52(13):2614–2619
Guan X, Bi F, Liu M, Chen H, Zhou L (2018) Study on location allocation of earthquake emergency service depot based on hybrid multi-attribute decision making. Nat Hazards 90(1):337–348
Hürriyet (2019) https://www.hurriyet.com.tr/gundem/iste-deprem-konteynerleri-icin-merak-edilenler-41304151. Accessed 18 Aug 2023
Izmir Metropolitan Municipality Disaster Plan (2023) https://afetplani.izmir.bel.tr/documents/sunum.pdf. Accessed 18 Aug 2023
Lin BC, Lee CH (2022) Conducting an adaptive evaluation framework of importance and performance for community-based earthquake disaster management. Natural Hazards 1–20
Maharjan R, Hanaoka S (2017) Warehouse location determination for humanitarian relief distribution in Nepal. Transport Res Procedia 25:1151–1163
Manopiniwes W, Irohara T (2021) Optimization model for temporary depot problem in flood disaster response. Nat Hazards 105(2):1743–1763
Nasseri SH, Ebrahimnejad A (2010) A fuzzy primal simplex algorithm and its application for solving flexible linear programming problems. Eur J Ind Eng 4(3):372–389
Neighborhood Disaster Stations in Tekirdağ (2022) https://afet.tekirdag.bel.tr/afet_konteynerlari. Accessed 28 Oct 2022
Parisi S, Achillas C, Aidonis D, Folinas D (2016) Conceptual design of a telecommunications equipment container for humanitarian logistics. Int J Bus Sci Appl Manag 11(2Special Issue):12–23
Post-disaster assembly areas in Buca (2022) http://www.buca.bel.tr/files/1627888811.pdf. Accessed 28 Oct 2022
Rani D, Ebrahimnejad A, Gupta G (2022) Generalized techniques for solving intuitionistic fuzzy multi-objective non-linear optimization problems. Expert Syst Appl 202:117264
Report of Afet Platformu (2021) https://afetplatformu.org.tr/wp-content/uploads/2021/02/I%CC%87zmir-Raporu-Afet-Platformu.pdf. Accessed 28 Oct 2022
Rezaei-Malek M, Tavakkoli-Moghaddam R, Zahiri B, Bozorgi-Amiri A (2016) An interactive approach for designing a robust disaster relief logistics network with perishable commodities. Comput Ind Eng 94:201–215
Sahin-Arslan A, Ertem MA (2019) A warehouse design with containers for humanitarian logistics: a real-life implementation from Turkey. Int J Ind EngTheory Appl Pract 26(2):139–155
Sheikholeslami M, Zarrinpoor N (2023) Designing an integrated humanitarian logistics network for the preparedness and response phases under uncertainty. Socioecon Plann Sci 86:101496
Shrestha JK, Pudasaini P, Mussone L (2021) Rural road network performance and pre-disaster planning: an assessment methodology considering redundancy. Transp Plan Technol 44(7):726–743
Stienen VF, Wagenaar JC, den Hertog D, Fleuren HA (2021) Optimal depot locations for humanitarian logistics service providers using robust optimization. Omega 104:102494
Sözcü (2021) https://www.sozcu.com.tr/2021/gundem/istanbulda-deprem-konteynerleri-hirsizlarin-hedefi-oldu-6300256/amp/. Accessed 18 Aug 2023
Sözcü (2023) https://www.sozcu.com.tr/2023/gundem/istanbulda-kac-deprem-afet-konteyneri-var-7611338/. Accessed 18 Aug 2023
Şahin A, Ertem MA, Emür E (2014) Using containers as storage facilities in humanitarian logistics. J Human Logist Supply Chain Manag
Tavana M, Abtahi AR, Di Caprio D, Hashemi R, Yousefi-Zenouz R (2018) An integrated location-inventory-routing humanitarian supply chain network with pre-and post-disaster management considerations. Socioecon Plann Sci 64:21–37
The Map of Buca (2023) https://www.buca.bel.tr/Buca-Hakkinda/15/kent-rehberi/buca.html. Accessed 18 Aug 2023
The Report of 2022 Disasters in Numbers (2023) https://reliefweb.int/report/world/2022-disasters-numbers#:~:text=In%202022%2C%20the%20Emergency%20Event,totaled%20around%20US%24%20223.8%20billion. Accessed 30 May 2023
The Report of TMMOB Chamber of Civil Engineers (2023) https://ankara.imo.org.tr/TR,146884/tmmob-kahramanmaras-depremi-guncel-durum-tespiti--2--14-subat-2023.html. Accessed 18 Aug 2023
Turkey-Earthquake: Emergency Situation Report (2023) https://reliefweb.int/report/turkiye/turkey-earthquake-emergency-situation-report-21062023. Accessed 18 Aug 2023
Yeni Asır (2014) https://www.yeniasir.com.tr/izmir/2014/01/21/egenin-afet-deposu-manisaya. Accessed 28 Oct 2022
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Yoruk, E., Baykasoglu, A. & Avci, M.G. Location and replenishment problems of disaster stations for humanitarian relief logistics along with an application. Nat Hazards 119, 1713–1734 (2023). https://doi.org/10.1007/s11069-023-06175-8
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DOI: https://doi.org/10.1007/s11069-023-06175-8