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Developing Forecasting Tool for Humanitarian Relief Organizations in Emergency Logistics Planning

Authors: Arun Kumar, Yousef L. A. Latif, Fugen Daver


Despite the availability of natural disaster related time series data for last 110 years, there is no forecasting tool available to humanitarian relief organizations to determine forecasts for emergency logistics planning. This study develops a forecasting tool based on identifying probability distributions. The estimates of the parameters are used to calculate natural disaster forecasts. Further, the determination of aggregate forecasts leads to efficient pre-disaster planning. Based on the research findings, the relief agencies can optimize the various resources allocation in emergency logistics planning.

Keywords: Humanitarian logistics, relief agencies, probability distribution.

Digital Object Identifier (DOI):

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