@article{(Open Science Index):https://publications.waset.org/pdf/9998488,
	  title     = {Decision Tree Modeling in Emergency Logistics Planning},
	  author    = {Yousef Abu Nahleh and  Arun Kumar and  Fugen Daver and  Reham Al-Hindawi},
	  country	= {},
	  institution	= {},
	  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.
	    journal   = {International Journal of Industrial and Manufacturing Engineering},
	  volume    = {8},
	  number    = {6},
	  year      = {2014},
	  pages     = {1704 - 1708},
	  ee        = {https://publications.waset.org/pdf/9998488},
	  url   	= {https://publications.waset.org/vol/90},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 90, 2014},