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Medical resource inventory model for emergency preparation with uncertain demand and stochastic occurrence time under considering different risk preferences at the airport

Author

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  • Wei Pan
  • Ying Guo
  • Lei Jin
  • ShuJie Liao

Abstract

With the high accident rate of civil aviation, medical resource inventory becomes more important for emergency management at the airport. Meanwhile, medical products usually are time-sensitive and short lifetime. Moreover, we find that the optimal medical resource inventory depends on multiple factors such as different risk preferences, the material shelf life and so on. Thus, it becomes very complex in a real-life environment. According to this situation, we construct medical resource inventory decision model for emergency preparation at the airport. Our model is formulated in such a way as to simultaneously consider uncertain demand, stochastic occurrence time and different risk preferences. For solving this problem, a new programming is developed. Finally, a numerical example is presented to illustrate the proposed method. The results show that it is effective for determining the optimal medical resource inventory for emergency preparation with uncertain demand and stochastic occurrence time under considering different risk preferences at the airport.

Suggested Citation

  • Wei Pan & Ying Guo & Lei Jin & ShuJie Liao, 2017. "Medical resource inventory model for emergency preparation with uncertain demand and stochastic occurrence time under considering different risk preferences at the airport," PLOS ONE, Public Library of Science, vol. 12(9), pages 1-16, September.
  • Handle: RePEc:plo:pone00:0183472
    DOI: 10.1371/journal.pone.0183472
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    References listed on IDEAS

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    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. William Harbaugh & Kate Krause & Lise Vesterlund, 2002. "Risk Attitudes of Children and Adults: Choices Over Small and Large Probability Gains and Losses," Experimental Economics, Springer;Economic Science Association, vol. 5(1), pages 53-84, June.
    3. Clay Whybark, D., 2007. "Issues in managing disaster relief inventories," International Journal of Production Economics, Elsevier, vol. 108(1-2), pages 228-235, July.
    4. L N Van Wassenhove, 2006. "Humanitarian aid logistics: supply chain management in high gear," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(5), pages 475-489, May.
    5. Wu, Meng & Zhu, Stuart X. & Teunter, Ruud H., 2013. "The risk-averse newsvendor problem with random capacity," European Journal of Operational Research, Elsevier, vol. 231(2), pages 328-336.
    6. Cheaitou, Ali & van Delft, Christian & Dallery, Yves & Jemai, Zied, 2009. "Two-period production planning and inventory control," International Journal of Production Economics, Elsevier, vol. 118(1), pages 118-130, March.
    7. Chan, Timothy C.Y. & Mahmoudzadeh, Houra & Purdie, Thomas G., 2014. "A robust-CVaR optimization approach with application to breast cancer therapy," European Journal of Operational Research, Elsevier, vol. 238(3), pages 876-885.
    8. Christian van Delft & A. Cheaitou y, 2009. "Two-period production planning and inventory control," Post-Print hal-00491696, HAL.
    9. Cha, Eun Jeong & Ellingwood, Bruce R., 2012. "Risk-averse decision-making for civil infrastructure exposed to low-probability, high-consequence events," Reliability Engineering and System Safety, Elsevier, vol. 104(C), pages 27-35.
    10. Chew, Ek-Peng & Huang, Huei-Chuen & Johnson, Ellis L. & Nemhauser, George L. & Sokol, Joel S. & Leong, Chun-How, 2006. "Short-term booking of air cargo space," European Journal of Operational Research, Elsevier, vol. 174(3), pages 1979-1990, November.
    11. Christian van Delft & Ali Cheaitoua & Yves Dallery & Z. Jemai, 2009. "Two-period production planning and inventory control," Post-Print hal-00471430, HAL.
    12. Matsuyama, Keisuke, 2006. "The multi-period newsboy problem," European Journal of Operational Research, Elsevier, vol. 171(1), pages 170-188, May.
    13. Das, Rubel & Hanaoka, Shinya, 2014. "Relief inventory modelling with stochastic lead-time and demand," European Journal of Operational Research, Elsevier, vol. 235(3), pages 616-623.
    14. Rockafellar, R. Tyrrell & Uryasev, Stanislav, 2002. "Conditional value-at-risk for general loss distributions," Journal of Banking & Finance, Elsevier, vol. 26(7), pages 1443-1471, July.
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    Cited by:

    1. Joyce Apple, 2023. "Disaster Risk Management Preparedness and Challenges of a Local Beach and Dive Resort in Southern Negros Occidental," Technium Business and Management, Technium Science, vol. 3(1), pages 1-24–58.

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