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A Two-Stage Stochastic Programming Model for Emergency Supplies Pre-Position under the Background of Civil-Military Integration

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  • Qingwen Li

    (School of Economics and Management, Yanshan University, Qinhuangdao 066004, China)

  • Jiuhe Wang

    (School of Economics and Management, Yanshan University, Qinhuangdao 066004, China)

  • Yinggang Wang

    (School of Economics and Management, Yanshan University, Qinhuangdao 066004, China)

  • Jian Lv

    (School of Economics and Management, Yanshan University, Qinhuangdao 066004, China)

Abstract

The pre-positioning of emergency supplies is of great significance for a timely and effective rescue after a disaster. Using the background of civil-military integration in China, this paper puts the military storage facilities into the layout scheme of emergency supplies reserve and builds a two-stage stochastic programming model of emergency supplies location–allocation optimization, the aim of which is to effectively use the reserve resources of both military and civilian sides to reduce the reserve cost. Then, an improved whale optimization algorithm (IWOA) with more strategies is designed to solve the model. The applicability of the model is proved via a real-world case study in Tangshan, China. The case study shows that when the unit storage cost of military storage facilities is less than 1.5 times of that of civilian emergency storage, the military and civilian joint reserve mode can reduce the reserve cost-effectively; decision-makers can set different maximum rescue times according to different preferences to adapt to different emergency decision-making needs.

Suggested Citation

  • Qingwen Li & Jiuhe Wang & Yinggang Wang & Jian Lv, 2022. "A Two-Stage Stochastic Programming Model for Emergency Supplies Pre-Position under the Background of Civil-Military Integration," Sustainability, MDPI, vol. 14(19), pages 1-21, September.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:19:p:12080-:d:924059
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    References listed on IDEAS

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    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. Paul, Jomon Aliyas & MacDonald, Leo, 2016. "Location and capacity allocations decisions to mitigate the impacts of unexpected disasters," European Journal of Operational Research, Elsevier, vol. 251(1), pages 252-263.
    3. Lu, Chung-Cheng & Ying, Kuo-Ching & Chen, Hui-Ju, 2016. "Real-time relief distribution in the aftermath of disasters – A rolling horizon approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 93(C), pages 1-20.
    4. Sheu, Jiuh-Biing, 2007. "An emergency logistics distribution approach for quick response to urgent relief demand in disasters," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 43(6), pages 687-709, November.
    5. Shu, Jia & Lv, Wenya & Na, Qing, 2021. "Humanitarian relief supply network design: Expander graph based approach and a case study of 2013 Flood in Northeast China," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 146(C).
    6. Zhang, Guowei & Zhu, Ning & Ma, Shoufeng & Xia, Jun, 2021. "Humanitarian relief network assessment using collaborative truck-and-drone system," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    7. 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.
    8. Najafi, Mehdi & Eshghi, Kourosh & Dullaert, Wout, 2013. "A multi-objective robust optimization model for logistics planning in the earthquake response phase," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 49(1), pages 217-249.
    9. Jingxian Chen & Liang Liang & Dong-Qing Yao, 2017. "Pre-positioning of relief inventories for non-profit organizations: a newsvendor approach," Annals of Operations Research, Springer, vol. 259(1), pages 35-63, December.
    10. Caunhye, Aakil M. & Nie, Xiaofeng & Pokharel, Shaligram, 2012. "Optimization models in emergency logistics: A literature review," Socio-Economic Planning Sciences, Elsevier, vol. 46(1), pages 4-13.
    11. Wang, Jing & Cai, Jianping & Yue, Xiaohang & Suresh, Nallan C., 2021. "Pre-positioning and real-time disaster response operations: Optimization with mobile phone location data," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 150(C).
    12. C.L. Hu & X. Liu & Y.K. Hua, 2016. "A bi-objective robust model for emergency resource allocation under uncertainty," International Journal of Production Research, Taylor & Francis Journals, vol. 54(24), pages 7421-7438, December.
    13. 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.
    14. Ece Aslan & Melih Çelik, 2019. "Pre-positioning of relief items under road/facility vulnerability with concurrent restoration and relief transportation," IISE Transactions, Taylor & Francis Journals, vol. 51(8), pages 847-868, August.
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