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Evaluating the Effectiveness of Pre-Positioning Policies in Response to Natural Disasters

Author

Listed:
  • Jarrett Chapman

    (North Carolina A&T State University, Greensboro, NC, USA)

  • Lauren B. Davis

    (North Carolina A&T State University, Greensboro, NC, USA)

  • Funda Samanlioglu

    (Kadir Has University, Istanbul, Turkey)

  • Xiuli Qu

    (North Carolina A&T State University, Greensboro, NC, USA)

Abstract

Recent natural disasters highlight the complexities associated with planning, coordination and distribution of supplies in a manner which provides timely and effective response. In this paper, the authors present a model to quantify the benefits associated with pre-positioning local supplies. They assume the supplies are in a high-risk location and may be destroyed if an appropriate strategy to protect the supplies is not implemented. A stochastic linear programming model is developed where the first-stage decision pre-positions existing supplies to minimize the supply loss. Second-stage decisions attempt to maximize the responsiveness of the system by allocating supplies to satisfy demand. The benefits associated with pre-positioning versus non-pre-positioning are discussed.

Suggested Citation

  • 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.
    • Handle: RePEc:igg:joris0:v:5:y:2014:i:2:p:86-100
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    Citations

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    Cited by:

    1. Renata Turkeš & Kenneth Sörensen & Daniel Palhazi Cuervo, 2021. "A matheuristic for the stochastic facility location problem," Journal of Heuristics, Springer, vol. 27(4), pages 649-694, August.
    2. 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.
    3. Pérez, Eduardo & Marthak, Yash V. & Méndez Mediavilla, Francis A., 2023. "Analysis and forecast of donations at domestic hunger relief organizations impacted by natural disasters," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).
    4. TURKEŠ, Renata & SÖRENSEN, Kenneth, 2018. "Case studies and random instances for the problem of pre-positioning emergency supplies," Working Papers 2018004, University of Antwerp, Faculty of Business and Economics.
    5. Yash V. Marthak & Eduardo Pérez & Francis A. Méndez Mediavilla, 2021. "A stochastic programming model for tactical product prepositioning at domestic hunger relief organizations impacted by natural hazards," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 107(3), pages 2263-2291, July.
    6. Renata Turkeš & Daniel Palhazi Cuervo & Kenneth Sörensen, 2019. "Pre-positioning of emergency supplies: does putting a price on human life help to save lives?," Annals of Operations Research, Springer, vol. 283(1), pages 865-895, December.
    7. 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.

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