Abstract
Logistics programming in natural involves dispatching commodities to distribution centres in disaster areas as soon as possible so that relief operations are accelerated. In this study, three planning models are to be integrated into a natural disaster logistics decision support system. The system readily decomposed into three problems the first one being fuzzy clustering disaster grades by historical data, the second one showing the grade distinguishment of new disaster areas based on fisher discrimination procedure, the last one giving plan incorporating relief commodities and equipment distributing in proper sequence in disaster areas. In emergency logistics context, supply is available in limited quantities at current time period but commodity demand is known with uncertainty at the time. So how to make grate use of the limited commodities under the uncertainty information, that is of great value. The mathematical models describe setting are considerably different than other conventional vehicle routing problem articles in the world. It suggests that macro adjustment is needed in emergency logistics programming in natural disasters, and it will drow more attention to this field in the near future.
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