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The Mechanism of Distribution Effectiveness of Territory Emergency Public Storage Materials

Author

Listed:
  • Jianliang Yang

    (School of Economics and Management, Beijing University of Chemical Technology, Beijing 100029, China)

  • Hanping Hou

    (School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China)

  • Yingjie Ju

    (School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China)

  • Shiling Gu

    (School of Economics and Management, Beijing University of Chemical Technology, Beijing 100029, China)

  • Zeqiang Qian

    (School of Economics and Management, Beijing University of Chemical Technology, Beijing 100029, China)

  • Xuan Wang

    (School of Economics and Management, Beijing University of Chemical Technology, Beijing 100029, China)

Abstract

The effective distribution of public storage materials is the key to realizing rapid and accurate rescue of territories, which could truly solve the “last kilometer” problem of emergency rescue. At present, it is relatively rare to study the rapid and accurate distribution of emergency supplies by taking demand forecasts, emergency reserves, and distribution models as an organic whole. In view of the bottleneck of rapid and accurate rescue in the complex disaster environment, this paper selects various means such as field research, literature retrieval, and previous case analysis and uses the system analysis method. Next, this paper explains that the three main factors that affect the distribution of public storage materials are the demand of “black box”, the scarcity of materials, and the blindness of distribution and constructs an effective analysis framework of demand predictability, material availability, and distribution accuracy. Finally, this paper puts forward the triangle structure framework of demand forecasting, virtual public storage, and comprehensive distribution and further explains the triangle structure relationship, operation mechanism, and operation strategy of effective distribution of public storage materials.

Suggested Citation

  • Jianliang Yang & Hanping Hou & Yingjie Ju & Shiling Gu & Zeqiang Qian & Xuan Wang, 2020. "The Mechanism of Distribution Effectiveness of Territory Emergency Public Storage Materials," Sustainability, MDPI, vol. 12(21), pages 1-14, October.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:21:p:8940-:d:435785
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    References listed on IDEAS

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    1. E J Lodree Jr & S Taskin, 2008. "An insurance risk management framework for disaster relief and supply chain disruption inventory planning," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(5), pages 674-684, May.
    2. Chang, Mei-Shiang & Tseng, Ya-Ling & Chen, Jing-Wen, 2007. "A scenario planning approach for the flood emergency logistics preparation problem under uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 43(6), pages 737-754, November.
    3. 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.
    4. Cattani, Kyle D. & Dahan, Ely & Schmidt, Glen M., 2008. "Tailored capacity: Speculative and reactive fabrication of fashion goods," International Journal of Production Economics, Elsevier, vol. 114(2), pages 416-430, August.
    5. Rottkemper, Beate & Fischer, Kathrin & Blecken, Alexander, 2012. "A transshipment model for distribution and inventory relocation under uncertainty in humanitarian operations," Socio-Economic Planning Sciences, Elsevier, vol. 46(1), pages 98-109.
    6. Sheu, Jiuh-Biing, 2014. "Post-disaster relief–service centralized logistics distribution with survivor resilience maximization," Transportation Research Part B: Methodological, Elsevier, vol. 68(C), pages 288-314.
    7. 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.
    8. Wang, Haijun & Du, Lijing & Ma, Shihua, 2014. "Multi-objective open location-routing model with split delivery for optimized relief distribution in post-earthquake," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 69(C), pages 160-179.
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