
تعداد نشریات | 41 |
تعداد شمارهها | 1,182 |
تعداد مقالات | 10,167 |
تعداد مشاهده مقاله | 19,110,034 |
تعداد دریافت فایل اصل مقاله | 13,246,949 |
A Multi-Objective Model for Humanitarian Logistics Model During an Earthquake Crisis: A Case Study of Iran | ||
Control and Optimization in Applied Mathematics | ||
مقاله 2، دوره 9، شماره 2، اسفند 2024، صفحه 21-41 اصل مقاله (752.88 K) | ||
نوع مقاله: Research Article | ||
شناسه دیجیتال (DOI): 10.30473/coam.2024.68031.1238 | ||
نویسندگان | ||
Maryam Yaghoubi* 1؛ Fatemeh Dadmand2 | ||
1Department of Mathematics, University of Payame Noor (PNU), P.O. Box 19395-4697, Tehran, Iran | ||
2Department of Management, University of Payame Noor (PNU), P.O. Box 19395-4697, Tehran, Iran. | ||
چکیده | ||
Natural disasters, such as earthquakes, result in significant financial and human losses. Rescue operations play a crucial role in managing such crises. However, the lack of precise information and the damage or destruction of urban transportation routes following earthquakes introduces uncertainty into these operations. This study presents a multi-objective humanitarian logistics model that utilizes a mixed-integer nonlinear programming (MINLP) approach. The model considers the reliability of transportation routes after an earthquake, the standard response time for allocating personnel and relief equipment, and the coverage maximization. This model incorporates various uncertainties, including the reliability of the transportation network. Real data from the city of Gonabad, Iran, was used to evaluate the proposed model. The results and sensitivity analysis demonstrated that the model exhibits desirable performance. | ||
کلیدواژهها | ||
Disaster management؛ Humanitarian logistics؛ Allocation؛ Scenario planning | ||
مراجع | ||
[1] Ahmadi, M., Seifi, A., Tootooni, B. (2015). “A humanitarian logistics model for disaster relief operation considering network failure and standard relief time: A case study on San Francisco district”, Transportation Research Part E: Logistics and Transportation Review, 75, 145-163.
[2] Alcántara-Ayala, I. (2002). “Geomorphology, natural hazards, vulnerability and prevention of natural disasters in developing countries”, Geomorphology, 47(2-4), 107-124.
[3] Altay, N., Green III, W.G. (2006). “ OR/MS research in disaster operations management’’, European Journal of Operational Research”, 175(1), 475-493.
[4] Balcik, B., Beamon, B.M. (2008). “Facility location in humanitarian relief”, International Journal of Logistics, 11(2), 101-121.
[5] Bozorgi Amiri, A., Mansoori, S., Pishvaee, M.S. (2017). “Multi-objective relief chain network design for earthquake response under uncertainties”, Journal of Industrial Management Perspective, 7(1, Spring 2017), 9-36.
[6] Chen, D., Ding, F., Huang, Y., Sun, D. (2018). “Multi-objective optimisation model of emergency material allocation in emergency logistics: A view of utility, priority and economic principles”, International Journal of Emergency Management, 14(3), 233-253.
[7] Ehrgott, M. (2005). “Multicriteria optimization”, Springer Science & Business Media.
[8] Fereiduni, M., Shahanaghi, K. (2017). “A robust optimization model for distribution and evacuation in the disaster response phase”, Journal of Industrial Engineering International, 13, 117-141.
[9] Ghassemi, M.R. (2016). “Surface ruptures of the Iranian earthquakes 1900–2014: Insights for earthquake fault rupture hazards and empirical relationships”. Earth-science reviews, 156, 1-13.
[10] Hallegatte, S., Vogt-Schilb, A., Rozenberg, J., Bangalore, M., Beaudet, C. (2020). “From poverty to disaster and back: A review of the literature”. Economics of Disasters and Climate Change, 4, 223-247.
[11] Hashemi Borzabadi, A., Hasanabadi, M., Sadjadi, N. (2016). “Approximate Pareto optimal solutions of multi objective optimal control problems by evolutionary algorithms”, Control and Optimization in Applied Mathematics, 1(1), 1-19.
[12] Hermann, C.F. (1972). “Indicators of international political crises: Some initial steps toward prediction”, in Paper for the Conference “The political System in Crisis” at the Otto-Suhr-Institute of the Freie UniversiUit Berlin (I0.-13.1. 1972).
[13] Kleber, R.J., Figley, C.R., Gersons, B.P. (Eds.). (2013). Beyond trauma: Cultural and societal dynamics. Springer Science & Business Media.
[14] Maharjan, R., Hanaoka, S. (2018). “A multi-actor multi-objective optimization approach for locating temporary logistics hubs during disaster response”, Journal of Humanitarian Logistics and Supply Chain Management, 8(1), 2-21.
[15] Mahdavi, I., Aalaei, A., Paydar, M.M., Solimanpur, M. (2010). “Designing a mathematical model for dynamic cellular manufacturing systems considering production planning and worker assignment”, Computers & Mathematics with Applications, 60(4), 1014-1025.
[16] Mitsotakis,A.,Kassaras,G.(2010).“Managing disaster in the Ionian Sea: Planning and optimizing logistics for disaster relief operations for the island of Kefalonia”.
[17] Nikjoo, N., Javadian, N. (2019). “A multi-objective robust optimization logistics model in times of crisis under uncertainty”, Journal of Industrial Management Perspective, 8(4, Winter 2019), 121-147.
[18] Nour, A.R., Kamali, A.M. (2009). “A weighted metric method to optimize multi-response robust problems”. Journal of Industrial engineering International, 5(8), 10-19.
[19] Sahebjamnia, N., Torabi, S.A., Mansouri, S.A. (2017). “A hybrid decision support system for managing humanitarian relief chains”, Decision Support Systems, 95, 12-26.
[20] Salehi, M., Jabarpour, E. (2020). ``Modeling and solving a multi-objective location-routing problem considering the evacuation of casualties and homeless people and fuzzy paths in relief logistics'', Control and Optimization in Applied Mathematics, 5(1), 41-65.
[21] Subramaniam, P. (2023). “Multi-objective Optimization for Equitable Post-Disaster Relief Supply Distribution”. DH Vergara. Available at SSRN 4798520.
[22] Sun, H., Wang, Y., Xue, Y. (2021). “A bi-objective robust optimization model for disaster response planning under uncertainties”, Computers & Industrial Engineering, 155, 107213.
[23] Tafahomi, R. (2021). “Application of physical and nonphysical elements in the conservation of historic core of city”, South African Journal of Geomatics, 10(1), 75-86.
[24] Van Zutphen, T. (2011). “Sphere project–humanitarian charter and minimum standards in humanitarian response”, Rugby, Warwickshire, UK: Practical Action Publishing [Preprint].
[25] Veysmoradi, D., Vahdani, B., Farhadi Sartangi, M., Mousavi, S.M. (2018). “Multi-objective open location-routing model for relief distribution networks with split delivery and multi-mode transportation under uncertainty”, Scientia Iranica, 25(6), 3635-3653.
[26] Wald, D.J. (2020). “Practical limitations of earthquake early warning”. Earthquake Spectra, 36(3), 1412-1447.
[27] Wallemacq, P., Below, R., McClean, D. (2018). “Economic losses, poverty & disasters: 1998-2017”, United Nations Office for Disaster Risk Reduction.
[28] Kreimer, A., Arnold, M. (Eds.). (2000). “Managing disaster risk in emerging economies”. World Bank Publications (Vol. 2).
[29] Zarrinpoor, N., Aray, Z., Sheikholeslami, M. (2023).“ A robust-stochastic optimization approach for designing relief logistics operations under network disruption”, International Journal of Supply and Operations Management, 10(3), 271-294. | ||
آمار تعداد مشاهده مقاله: 261 تعداد دریافت فایل اصل مقاله: 323 |