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Fuel distribution planning for disasters: Models and case study for Puerto Rico

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  • Eghbal Akhlaghi, Vahid
  • Campbell, Ann Melissa
  • de Matta, Renato E.

Abstract

In this study, we propose an optimization approach for the storage and distribution of fuel after a disaster. This problem is of particular concern in island settings. Our approach models the uncertainty of the problem through a set of disaster scenarios. The scenarios capture which fuel storage locations are unavailable and which regions face higher demands for fuel due to the impact of a disaster. We develop mixed-integer programs to determine how to allocate fuel to the different regions, the value of prepositioning additional fuel in the current and new locations, and the best fuel volumes to store in different geographical locations. Our models consider both maximizing equity and output. For our case study, we examine how these different strategies could benefit Puerto Rico, given ten recent disasters that have hit this island. We are able to demonstrate the importance of prepositioning fuel in new locations.

Suggested Citation

  • Eghbal Akhlaghi, Vahid & Campbell, Ann Melissa & de Matta, Renato E., 2021. "Fuel distribution planning for disasters: Models and case study for Puerto Rico," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    • Handle: RePEc:eee:transe:v:152:y:2021:i:c:s1366554521001708
    DOI: 10.1016/j.tre.2021.102403
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    as
    1. Mete, Huseyin Onur & Zabinsky, Zelda B., 2010. "Stochastic optimization of medical supply location and distribution in disaster management," International Journal of Production Economics, Elsevier, vol. 126(1), pages 76-84, July.
    2. Philippe Aghion & Antonin Bergeaud & Timo Boppart & Peter J. Klenow & Huiyu Li, 2019. "Missing Growth from Creative Destruction," American Economic Review, American Economic Association, vol. 109(8), pages 2795-2822, August.
    3. Mahdi Mostajabdaveh & Walter J. Gutjahr & F. Sibel Salman, 2019. "Inequity-averse shelter location for disaster preparedness," IISE Transactions, Taylor & Francis Journals, vol. 51(8), pages 809-829, August.
    4. Jorge Vargas Florez Vargas Florez & Matthieu Lauras & Aurelie Charles & Lionel Dupont, 2014. "Designing Realistic Scenarios for Disaster Management Quantitative Models," Post-Print hal-01535857, HAL.
    5. Kasin Ransikarbum & Scott J. Mason, 2016. "Multiple-objective analysis of integrated relief supply and network restoration in humanitarian logistics operations," International Journal of Production Research, Taylor & Francis Journals, vol. 54(1), pages 49-68, January.
    6. ., 2018. "Creating a system-wide asset-based reserve system," Chapters, in: All Fall Down, chapter 26, pages 171-175, Edward Elgar Publishing.
    7. Tzeng, Gwo-Hshiung & Cheng, Hsin-Jung & Huang, Tsung Dow, 2007. "Multi-objective optimal planning for designing relief delivery systems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 43(6), pages 673-686, November.
    8. Galindo, Gina & Batta, Rajan, 2013. "Prepositioning of supplies in preparation for a hurricane under potential destruction of prepositioned supplies," Socio-Economic Planning Sciences, Elsevier, vol. 47(1), pages 20-37.
    9. Li, Xiaoping & Batta, Rajan & Kwon, Changhyun, 2017. "Effective and equitable supply of gasoline to impacted areas in the aftermath of a natural disaster," Socio-Economic Planning Sciences, Elsevier, vol. 57(C), pages 25-34.
    10. Ransikarbum, Kasin & Mason, Scott J., 2016. "Goal programming-based post-disaster decision making for integrated relief distribution and early-stage network restoration," International Journal of Production Economics, Elsevier, vol. 182(C), pages 324-341.
    11. Rawls, Carmen G. & Turnquist, Mark A., 2010. "Pre-positioning of emergency supplies for disaster response," Transportation Research Part B: Methodological, Elsevier, vol. 44(4), pages 521-534, May.
    12. M. Ortuño & G. Tirado & B. Vitoriano, 2011. "A lexicographical goal programming based decision support system for logistics of Humanitarian Aid," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 19(2), pages 464-479, December.
    13. Huang, Michael & Smilowitz, Karen & Balcik, Burcu, 2012. "Models for relief routing: Equity, efficiency and efficacy," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(1), pages 2-18.
    14. ., 2018. "Creative innovativeness in full bloom," Chapters, in: A History of the Global Economy, chapter 18, pages 320-333, Edward Elgar Publishing.
    15. Yajie Liu & Bo Guo, 2014. "A Lexicographic Approach to Postdisaster Relief Logistics Planning Considering Fill Rates and Costs under Uncertainty," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-17, January.
    16. Marsh, Michael T. & Schilling, David A., 1994. "Equity measurement in facility location analysis: A review and framework," European Journal of Operational Research, Elsevier, vol. 74(1), pages 1-17, April.
    17. Lin, Yen-Hung & Batta, Rajan & Rogerson, Peter A. & Blatt, Alan & Flanigan, Marie, 2011. "A logistics model for emergency supply of critical items in the aftermath of a disaster," Socio-Economic Planning Sciences, Elsevier, vol. 45(4), pages 132-145, December.
    18. Campbell, Ann Melissa & Jones, Philip C., 2011. "Prepositioning supplies in preparation for disasters," European Journal of Operational Research, Elsevier, vol. 209(2), pages 156-165, March.
    19. F Cornillier & F F Boctor & G Laporte & J Renaud, 2008. "An exact algorithm for the petrol station replenishment problem," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(5), pages 607-615, May.
    20. Paul, Jomon Aliyas & MacDonald, Leo, 2016. "Optimal location, capacity and timing of stockpiles for improved hurricane preparedness," International Journal of Production Economics, Elsevier, vol. 174(C), pages 11-28.
    21. Wing Sun Li, 2018. "Creating Value Through Strategic Alliances," Management for Professionals, in: Strategic Management Accounting, chapter 11, pages 193-216, Springer.
    22. ., 2018. "How eroding monetary tools facilitated debt creation," Chapters, in: All Fall Down, chapter 21, pages 142-144, Edward Elgar Publishing.
    23. Emma Puerari & Jotte I. J. C. De Koning & Timo Von Wirth & Philip M. Karré & Ingrid J. Mulder & Derk A. Loorbach, 2018. "Co-Creation Dynamics in Urban Living Labs," Sustainability, MDPI, vol. 10(6), pages 1-18, June.
    24. Moreno, Alfredo & Alem, Douglas & Ferreira, Deisemara & Clark, Alistair, 2018. "An effective two-stage stochastic multi-trip location-transportation model with social concerns in relief supply chains," European Journal of Operational Research, Elsevier, vol. 269(3), pages 1050-1071.
    25. Tavana, Madjid & Abtahi, Amir-Reza & Di Caprio, Debora & Hashemi, Reza & Yousefi-Zenouz, Reza, 2018. "An integrated location-inventory-routing humanitarian supply chain network with pre- and post-disaster management considerations," Socio-Economic Planning Sciences, Elsevier, vol. 64(C), pages 21-37.
    26. Ann Melissa Campbell & Dieter Vandenbussche & William Hermann, 2008. "Routing for Relief Efforts," Transportation Science, INFORMS, vol. 42(2), pages 127-145, May.
    27. Avella, Pasquale & Boccia, Maurizio & Sforza, Antonio, 2004. "Solving a fuel delivery problem by heuristic and exact approaches," European Journal of Operational Research, Elsevier, vol. 152(1), pages 170-179, January.
    28. UNCTAD & World Bank, 2018. "Creating an Enabling Environment," World Bank Publications - Reports 29480, The World Bank Group.
    29. Tuiloma Neroni Slade, 1999. "Special issue on small island developing states," Natural Resources Forum, Blackwell Publishing, vol. 23(3), pages 185-186, August.
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    Cited by:

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    2. Timperio, Giuseppe & Kundu, Tanmoy & Klumpp, Matthias & de Souza, Robert & Loh, Xiu Hui & Goh, Kelvin, 2022. "Beneficiary-centric decision support framework for enhanced resource coordination in humanitarian logistics: A case study from ASEAN," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 167(C).
    3. Lonergan, Katherine Emma & Suter, Nicolas & Sansavini, Giovanni, 2023. "Energy systems modelling for just transitions," Energy Policy, Elsevier, vol. 183(C).
    4. Kundu, Tanmoy & Sheu, Jiuh-Biing & Kuo, Hsin-Tsz, 2022. "Emergency logistics management—Review and propositions for future research," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    5. Eghbal Akhlaghi, Vahid & Campbell, Ann Melissa, 2022. "The two-echelon island fuel distribution problem," European Journal of Operational Research, Elsevier, vol. 302(3), pages 999-1017.

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