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Relief Demand Calculation in Humanitarian Logistics Using Material Classification

Author

Listed:
  • Jianfang Shao

    (School of Management, Hefei University of Technology, Hefei 230000, China)

  • Changyong Liang

    (School of Management, Hefei University of Technology, Hefei 230000, China)

  • Xihui Wang

    (School of Management, University of Science and Technology of China, Hefei 230000, China)

  • Xiang Wang

    (School of Management, University of Science and Technology of China, Hefei 230000, China)

  • Liang Liang

    (School of Management, Hefei University of Technology, Hefei 230000, China)

Abstract

Demand calculation, which is the base of most logistics decisions and activities, is a critical work in humanitarian logistics (HL). However, previous studies on demand calculation in HL mainly focus on demand forecasting methodology, with many neglecting the checklist of critical supplies and practice background. This work proposes a new method for relief demand calculation by dividing the process into two parts: supply classification and demand calculation. A general method for classifying relief supplies and clarifying the checklist of relief items for multi-disaster and multiple natural scenarios is given in detail, followed by the procedure of demand calculation for each relief material. The authors present a case study to validate the feasibility and effectiveness of the proposed method based on the disaster response practice in China. Detailed lists of relief demand for different types and severities of disaster are provided.

Suggested Citation

  • Jianfang Shao & Changyong Liang & Xihui Wang & Xiang Wang & Liang Liang, 2020. "Relief Demand Calculation in Humanitarian Logistics Using Material Classification," IJERPH, MDPI, vol. 17(2), pages 1-25, January.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:2:p:582-:d:309415
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    Cited by:

    1. Xiaoxin Zhu & Yanyan Wang & David Regan & Baiqing Sun, 2020. "A Quantitative Study on Crucial Food Supplies after the 2011 Tohoku Earthquake Based on Time Series Analysis," IJERPH, MDPI, vol. 17(19), pages 1-13, September.
    2. Fei, Liguo & Wang, Yanqing, 2022. "Demand prediction of emergency materials using case-based reasoning extended by the Dempster-Shafer theory," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    3. Matthias Klumpp & Dominic Loske, 2021. "Long-Term Economic Sustainability of Humanitarian Logistics—A Multi-Level and Time-Series Data Envelopment Analysis," IJERPH, MDPI, vol. 18(5), pages 1-19, February.

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