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A Two-Stage Stochastic Programming Model for Pre-positioning of Relief Supplies

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Book cover Proceedings of the Fourteenth International Conference on Management Science and Engineering Management (ICMSEM 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1191))

Abstract

Pre-positioning and distribution of emergency supplies are important activities in the preparedness and response stages for disasters. The goal of this paper is to address the joint decision-making of pre-positioning and distribution of relief supplies under uncertain environment. A two-stage stochastic programming model with the objective of the minimizing total cost is formulated and the uncertainties of disasters are taken into account. A case study focusing on addressing hurricane threats in the Gulf Coast area of the US is conducted to illustrated the application of the proposed model. The results analysis provides managerial insights for relief agencies.

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (Grant No. 71801135), the Natural Science Foundation of Jiangsu Province (Grant No. BK20180792), the University Natural Science Research Foundation of Jiangsu Province (Grant No. 18KJB580011), and the Startup Foundation for Introducing Talent of NUIST (Grant No. 2017r061).

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Correspondence to Yusheng Wang .

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Wang, Y., Gong, Z., Lev, B. (2021). A Two-Stage Stochastic Programming Model for Pre-positioning of Relief Supplies. In: Xu, J., Duca, G., Ahmed, S., García Márquez, F., Hajiyev, A. (eds) Proceedings of the Fourteenth International Conference on Management Science and Engineering Management. ICMSEM 2020. Advances in Intelligent Systems and Computing, vol 1191. Springer, Cham. https://doi.org/10.1007/978-3-030-49889-4_4

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