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A matheuristic for the pre-positioning of emergency supplies

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  • TURKEŠ, Renata
  • SÖRENSEN, Kenneth
  • PALHAZI CUERVO, Daniel

Abstract

In this paper, we describe the matheuristic we developed for the problem of pre-positioning emergency supplies that aims to increase disaster preparedness by making the relief items readily available to the people in need. To solve the pre-positioning problem is to develop a strategy that determines the location and size of storage facilities, the quantities of various types of emergency supplies stocked in each facility, and the distribution of the supplies to demand locations after an event, under uncertainty about demands, survival of pre-positioned supplies, and transportation network availability. The matheuristic employs iterated local search techniques to look for good location and inventory configurations, and uses CPLEX to optimize the aid distribution. Numerical experiments on a number of case studies and random instances demonstrate the effectiveness and efficiency of the matheuristic, which is shown to be particularly useful for tackling larger instances that are intractable for exact solvers. The matheuristic can therefore be used by both academics and practitioners to further study the pre-positioning problem and to support the planning of pre-positioning strategies.

Suggested Citation

  • TURKEŠ, Renata & SÖRENSEN, Kenneth & PALHAZI CUERVO, Daniel, 2018. "A matheuristic for the pre-positioning of emergency supplies," Working Papers 2018009, University of Antwerp, Faculty of Business and Economics.
    • Handle: RePEc:ant:wpaper:2018009
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    References listed on IDEAS

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    1. Khayal, Danya & Pradhananga, Rojee & Pokharel, Shaligram & Mutlu, Fatih, 2015. "A model for planning locations of temporary distribution facilities for emergency response," Socio-Economic Planning Sciences, Elsevier, vol. 52(C), pages 22-30.
    2. Xing Hong & Miguel A. Lejeune & Nilay Noyan, 2015. "Stochastic network design for disaster preparedness," IISE Transactions, Taylor & Francis Journals, vol. 47(4), pages 329-357, April.
    3. Jarrett Chapman & Lauren B. Davis & Funda Samanlioglu & Xiuli Qu, 2014. "Evaluating the Effectiveness of Pre-Positioning Policies in Response to Natural Disasters," International Journal of Operations Research and Information Systems (IJORIS), IGI Global, vol. 5(2), pages 86-100, April.
    4. Davis, Lauren B. & Samanlioglu, Funda & Qu, Xiuli & Root, Sarah, 2013. "Inventory planning and coordination in disaster relief efforts," International Journal of Production Economics, Elsevier, vol. 141(2), pages 561-573.
    5. Rennemo, Sigrid Johansen & Rø, Kristina Fougner & Hvattum, Lars Magnus & Tirado, Gregorio, 2014. "A three-stage stochastic facility routing model for disaster response planning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 62(C), pages 116-135.
    6. Gutjahr, Walter J. & Nolz, Pamela C., 2016. "Multicriteria optimization in humanitarian aid," European Journal of Operational Research, Elsevier, vol. 252(2), pages 351-366.
    7. Tofighi, S. & Torabi, S.A. & Mansouri, S.A., 2016. "Humanitarian logistics network design under mixed uncertainty," European Journal of Operational Research, Elsevier, vol. 250(1), pages 239-250.
    8. Serhan Duran & Marco A. Gutierrez & Pinar Keskinocak, 2011. "Pre-Positioning of Emergency Items for CARE International," Interfaces, INFORMS, vol. 41(3), pages 223-237, June.
    9. TURKEŠ, Renata & PALHAZI CUERVO, Daniel & SÖRENSEN, Kenneth, 2016. "Pre-positioning of emergency supplies: Does putting a price on human life help to save lives?," Working Papers 2016012, University of Antwerp, Faculty of Business and Economics.
    10. Kelle, Peter & Schneider, Helmut & Yi, Huizhi, 2014. "Decision alternatives between expected cost minimization and worst case scenario in emergency supply – Second revision," International Journal of Production Economics, Elsevier, vol. 157(C), pages 250-260.
    11. Gutjahr, Walter J. & Dzubur, Nada, 2016. "Bi-objective bilevel optimization of distribution center locations considering user equilibria," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 85(C), pages 1-22.
    12. Alem, Douglas & Clark, Alistair & Moreno, Alfredo, 2016. "Stochastic network models for logistics planning in disaster relief," European Journal of Operational Research, Elsevier, vol. 255(1), pages 187-206.
    13. Li, Lingfeng & Jin, Mingzhou & Zhang, Li, 2011. "Sheltering network planning and management with a case in the Gulf Coast region," International Journal of Production Economics, Elsevier, vol. 131(2), pages 431-440, June.
    14. 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.
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