Emergency material distribution and allocation method considering demand prediction and risk assessment

The invention discloses an emergency material distribution and allocation method considering demand prediction and risk assessment, and the method comprises the following steps: building an emergency material demand prediction model based on an artificial intelligence prediction method, a gray model...

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Bibliographische Detailangaben
Hauptverfasser:	ZHANG RUI, CHENG LIHAN, LYU ZEQIN, LI JINXIA, WANG QINGYANG, KONG XIANGYU, XU CHUNYANG, BIAN HUAXING, YU JIANXIN, CHEN GUOHUA, SHEN JIAN, WEN FUGUO
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:	The invention discloses an emergency material distribution and allocation method considering demand prediction and risk assessment, and the method comprises the following steps: building an emergency material demand prediction model based on an artificial intelligence prediction method, a gray model and a regression method, predicting the emergency material demand quantity and demand urgency degree of each disaster area according to disaster information and historical data, and carrying out the emergency material distribution and allocation. And a scientific basis is provided for material distribution. According to the invention, a complete emergency material distribution and allocation model is jointly formed by establishing a plurality of formed sub-models, the emergency material distribution and allocation optimization model is solved and calculated based on the sub-models, a decision scheme of material distribution and allocation can be dynamically adjusted according to information such as disaster inform