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Multi-regional collaborative mechanisms in emergency resource reserve and pre-dispatch design

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  • Jiang, Jiehui
  • Ma, Jie
  • Chen, Xiaojing

Abstract

This paper studies collaborative mechanisms in multi-regional emergency resource reserve and pre-dispatch design in the context of emerging pandemics. First, by depicting the features of the epidemic spreading in transportation networks, this work organically embeds the pandemic spreading in the migration process of residents. A multi-regional migration-pandemic diffusion model is established to predict the dynamic demand for drugs and disinfectants. Secondly, we design a three-level collaborative mechanism in emergency resource reserve design for multiple regions, including total-cost collaborative mechanism, investment-and-conversion collaborative mechanism and cross-region-dispatch collaborative mechanism. Finally, the effects of multi-regional demand forecast and the collaborative mechanisms on emergency resource reserve and pre-dispatch design are numerically analyzed. The findings show that ignoring the interregional migration of infected people leads to a serious shortage of emergency resources. The total-cost collaborative mechanism has little effect on the amount of emergency resources shortages in each region. The investment-and-conversion collaborative mechanism may exacerbate the shortages of certain types of emergency resources. The cross-region-dispatch collaborative mechanism can evenly prevent the shortages of emergency resources between the cooperation regions.

Suggested Citation

  • Jiang, Jiehui & Ma, Jie & Chen, Xiaojing, 2024. "Multi-regional collaborative mechanisms in emergency resource reserve and pre-dispatch design," International Journal of Production Economics, Elsevier, vol. 270(C).
    • Handle: RePEc:eee:proeco:v:270:y:2024:i:c:s0925527324000185
    DOI: 10.1016/j.ijpe.2024.109161
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    as
    1. Zhenghao Fan & Xiaolei Xie, 2022. "A distributionally robust optimisation for COVID-19 testing facility territory design and capacity planning," International Journal of Production Research, Taylor & Francis Journals, vol. 60(13), pages 4229-4252, July.
    2. Rodríguez-Espíndola, Oscar & Ahmadi, Hossein & Gastélum-Chavira, Diego & Ahumada-Valenzuela, Omar & Chowdhury, Soumyadeb & Dey, Prasanta Kumar & Albores, Pavel, 2023. "Humanitarian logistics optimization models: An investigation of decision-maker involvement and directions to promote implementation," Socio-Economic Planning Sciences, Elsevier, vol. 89(C).
    3. He, Yuxuan & Liu, Nan, 2015. "Methodology of emergency medical logistics for public health emergencies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 79(C), pages 178-200.
    4. Kundu, Tanmoy & Sheu, Jiuh-Biing & Kuo, Hsin-Tsz, 2022. "Emergency logistics management—Review and propositions for future research," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    5. Moshtari, Mohammad & Altay, Nezih & Heikkilä, Jussi & Gonçalves, Paulo, 2021. "Procurement in humanitarian organizations: Body of knowledge and practitioner's challenges," International Journal of Production Economics, Elsevier, vol. 233(C).
    6. Jiang, Bei & Yuan, Lin & Zou, Rongcheng & Su, Rui & Mi, Yuqiang, 2023. "The effect of migration on vaccination dilemma in networked populations," Chaos, Solitons & Fractals, Elsevier, vol. 170(C).
    7. Zhang, Yuwei & Li, Zhenping & Zhao, Yuwei, 2023. "Multi-mitigation strategies in medical supplies for epidemic outbreaks," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    8. Büyüktahtakın, İ. Esra & des-Bordes, Emmanuel & Kıbış, Eyyüb Y., 2018. "A new epidemics–logistics model: Insights into controlling the Ebola virus disease in West Africa," European Journal of Operational Research, Elsevier, vol. 265(3), pages 1046-1063.
    9. Shivam Gupta & Sachin Modgil & Ajay Kumar & Uthayasankar Sivarajah & Zahir Irani, 2022. "Artificial intelligence and cloud-based Collaborative Platforms for Managing Disaster, extreme weather and emergency operations," Post-Print hal-04325638, HAL.
    10. Farahani, Reza Zanjirani & Fallah, Samira & Ruiz, Rubén & Hosseini, Sara & Asgari, Nasrin, 2019. "OR models in urban service facility location: A critical review of applications and future developments," European Journal of Operational Research, Elsevier, vol. 276(1), pages 1-27.
    11. Gupta, Shivam & Modgil, Sachin & Kumar, Ajay & Sivarajah, Uthayasankar & Irani, Zahir, 2022. "Artificial intelligence and cloud-based Collaborative Platforms for Managing Disaster, extreme weather and emergency operations," International Journal of Production Economics, Elsevier, vol. 254(C).
    12. Abdin, Adam F. & Fang, Yi-Ping & Caunhye, Aakil & Alem, Douglas & Barros, Anne & Zio, Enrico, 2023. "An optimization model for planning testing and control strategies to limit the spread of a pandemic – The case of COVID-19," European Journal of Operational Research, Elsevier, vol. 304(1), pages 308-324.
    13. Gralla, Erica & Goentzel, Jarrod, 2018. "Humanitarian transportation planning: Evaluation of practice-based heuristics and recommendations for improvement," European Journal of Operational Research, Elsevier, vol. 269(2), pages 436-450.
    14. Jiang, Jiehui & Ma, Jie, 2023. "Dynamic analysis of pandemic cross-regional transmission considering quarantine strategies in the context of limited medical resources," Applied Mathematics and Computation, Elsevier, vol. 450(C).
    15. Julien Arino & P. van den Driessche, 2003. "A multi-city epidemic model," Mathematical Population Studies, Taylor & Francis Journals, vol. 10(3), pages 175-193.
    16. Oum, Tae Hoon & Wang, Kun, 2020. "Socially optimal lockdown and travel restrictions for fighting communicable virus including COVID-19," Transport Policy, Elsevier, vol. 96(C), pages 94-100.
    17. Wang, Wei & Wu, Shining & Wang, Shuaian & Zhen, Lu & Qu, Xiaobo, 2021. "Emergency facility location problems in logistics: Status and perspectives," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 154(C).
    18. Yin, Qian & Wang, Zhishuang & Xia, Chengyi & Dehmer, Matthias & Emmert-Streib, Frank & Jin, Zhen, 2020. "A novel epidemic model considering demographics and intercity commuting on complex dynamical networks," Applied Mathematics and Computation, Elsevier, vol. 386(C).
    19. Lan, Guijie & Song, Baojun & Yuan, Sanling, 2023. "Epidemic threshold and ergodicity of an SEIR model with vertical transmission under the telegraph noise," Chaos, Solitons & Fractals, Elsevier, vol. 167(C).
    20. Ming Liu & Xifen Xu & Jie Cao & Ding Zhang, 2020. "Integrated planning for public health emergencies: A modified model for controlling H1N1 pandemic," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 71(5), pages 748-761, May.
    21. Liu, Kanglin & Liu, Changchun & Xiang, Xi & Tian, Zhili, 2023. "Testing facility location and dynamic capacity planning for pandemics with demand uncertainty," European Journal of Operational Research, Elsevier, vol. 304(1), pages 150-168.
    22. Zhang, Weijian & Shi, Xianliang & Huang, Anqiang & Hua, Guowei & Teunter, Ruud H., 2023. "Optimal stock and capital reserve policies for emergency medical supplies against epidemic outbreaks," European Journal of Operational Research, Elsevier, vol. 304(1), pages 183-191.
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