Decision tree modeling in emergency logistics planning

dc.contributor.author	Nahleh, Yousef
dc.contributor.author	Kumar, Arun
dc.contributor.author	Daver, A
dc.contributor.author	Al-Hindawi, Reham
dc.date.accessioned	2025-12-05T07:11:35Z
dc.date.available	2025-12-05T07:11:35Z
dc.date.issued	2014
dc.description.abstract	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 of disaster for each country in the world by using decision tree modeling. 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—Decision tree modeling, Forecasting, Humanitarian relief, emergency supply chain.
dc.identifier.citation	Nahleh, Y., Kumar, A., Daver, A., & Al-Hindawi, R. (2014). Decision tree modeling in emergency logistics planning. World Academy of Science, Engineering and Technology, Internafional Journal of Social, Behavioral, Educafional, Economic, Business and Industrial Engineering, 8, 1704-1708.
dc.identifier.uri	https://repository.adu.ac.ae/handle/1/7835
dc.language.iso	en
dc.publisher	World Academy of Science,
dc.title	Decision tree modeling in emergency logistics planning
dc.type	Article

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