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Solving an emergency rescue materials problem under the joint reserves mode of government and framework agreement suppliers

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  • Jiang-Hua Zhang
  • Xiao-Qing Sun
  • Rui Zhu
  • Ming Li
  • Wang Miao

Abstract

Emergency rescue material reserves are vital for the success of emergency rescue activities. In this study, we consider a situation where a government owned distribution center and framework agreement suppliers jointly store emergency rescue materials. Using a scenario-based approach to represent demand uncertainty, we propose a comprehensive transportation pattern for the following supply chain: “suppliers—government distribution center—disaster area.” Using a joint reserves model that includes the government and framework agreement suppliers, we develop a non-linear mathematic model that determines the choices of the framework suppliers, the corresponding optimal commitment quantities, and the quantity of materials that are stored at a government distribution center. Finally, we use IBM ILOG CPLEX to solve the numerical examples to verify the effectiveness of the mode and perform sensitivity analyses on the relevant parameters.

Suggested Citation

  • Jiang-Hua Zhang & Xiao-Qing Sun & Rui Zhu & Ming Li & Wang Miao, 2017. "Solving an emergency rescue materials problem under the joint reserves mode of government and framework agreement suppliers," PLOS ONE, Public Library of Science, vol. 12(10), pages 1-20, October.
    • Handle: RePEc:plo:pone00:0186747
    DOI: 10.1371/journal.pone.0186747
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    References listed on IDEAS

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    1. Constantine Toregas & Ralph Swain & Charles ReVelle & Lawrence Bergman, 1971. "The Location of Emergency Service Facilities," Operations Research, INFORMS, vol. 19(6), pages 1363-1373, October.
    2. Campbell, Ann Melissa & Jones, Philip C., 2011. "Prepositioning supplies in preparation for disasters," European Journal of Operational Research, Elsevier, vol. 209(2), pages 156-165, March.
    3. 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.
    4. 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.
    5. Patrik Alfredsson & Jos Verrijdt, 1999. "Modeling Emergency Supply Flexibility in a Two-Echelon Inventory System," Management Science, INFORMS, vol. 45(10), pages 1416-1431, October.
    6. Widener, Michael J. & Horner, Mark W., 2011. "A hierarchical approach to modeling hurricane disaster relief goods distribution," Journal of Transport Geography, Elsevier, vol. 19(4), pages 821-828.
    7. Noel Pérez-Rodríguez & José Holguín-Veras, 2016. "Inventory-Allocation Distribution Models for Postdisaster Humanitarian Logistics with Explicit Consideration of Deprivation Costs," Transportation Science, INFORMS, vol. 50(4), pages 1261-1285, November.
    8. 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.
    9. Taskin, Selda & Lodree Jr., Emmett J., 2010. "Inventory decisions for emergency supplies based on hurricane count predictions," International Journal of Production Economics, Elsevier, vol. 126(1), pages 66-75, July.
    10. Jamie Dekle & Mariel S. Lavieri & Erica Martin & Hülya Emir-Farinas & Richard L. Francis, 2005. "A Florida County Locates Disaster Recovery Centers," Interfaces, INFORMS, vol. 35(2), pages 133-139, April.
    11. Lee, Young Hae & Jung, Jung Woo & Jeon, Young Sang, 2007. "An effective lateral transshipment policy to improve service level in the supply chain," International Journal of Production Economics, Elsevier, vol. 106(1), pages 115-126, March.
    12. Garrido, Rodrigo A. & Lamas, Patricio & Pino, Francisco J., 2015. "A stochastic programming approach for floods emergency logistics," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 75(C), pages 18-31.
    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.
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    Cited by:

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    2. Zhang, Meng & Kong, Zhaojun, 2023. "A two-phase combinatorial double auction and negotiation mechanism for socialized joint reserve mode in emergency preparedness," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    3. Hu, Shaolong & Dong, Zhijie Sasha & Lev, Benjamin, 2022. "Supplier selection in disaster operations management: Review and research gap identification," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).

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