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A logistics model for the transport of disaster victims with various injuries and survival probabilities

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  • Sukho Jin
  • Sukjae Jeong
  • Jangyeop Kim
  • Kyungsup Kim

Abstract

We propose an optimization model for patient delivery and medical resource allocation with capacity restrictions. Our model considers the severity of the victims’ injuries in the initial search and rescue period and their survival probabilities, which decrease proportionally with the elapsed time. We develop a mixed integer programming model to select the location and network flow of an on-site clinic for supporting first-aid treatment near disaster areas. We also build a model of a general hospital as an objective function to maximize the number of patients whose survival probability exceeds the marginal level. Our model also considers patients waiting at the on-site clinic and hospital. We apply our optimization approach in a case study with data from a department store collapse in South Korea. Our computational results will facilitate future studies of logistics to support wounded victims of disasters. Copyright Springer Science+Business Media New York 2015

Suggested Citation

  • Sukho Jin & Sukjae Jeong & Jangyeop Kim & Kyungsup Kim, 2015. "A logistics model for the transport of disaster victims with various injuries and survival probabilities," Annals of Operations Research, Springer, vol. 230(1), pages 17-33, July.
    • Handle: RePEc:spr:annopr:v:230:y:2015:i:1:p:17-33:10.1007/s10479-013-1515-0
    DOI: 10.1007/s10479-013-1515-0
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    References listed on IDEAS

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    Cited by:

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    16. Pravin Kumar & Rajesh Kr Singh, 2022. "Application of Industry 4.0 technologies for effective coordination in humanitarian supply chains: a strategic approach," Annals of Operations Research, Springer, vol. 319(1), pages 379-411, December.
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    18. Mohsen Yahyaei & Ali Bozorgi-Amiri, 2019. "Robust reliable humanitarian relief network design: an integration of shelter and supply facility location," Annals of Operations Research, Springer, vol. 283(1), pages 897-916, December.
    19. Rezapour, Shabnam & Naderi, Nazanin & Morshedlou, Nazanin & Rezapourbehnagh, Shaghayegh, 2018. "Optimal deployment of emergency resources in sudden onset disasters," International Journal of Production Economics, Elsevier, vol. 204(C), pages 365-382.
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    23. 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.
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