Abstract
Demand forecasting on relief is the premise and basis of material allocation scheme in emergency logistic system. Reasonable demand forecasting method can facilitate relief distribution, thus avoiding the phenomenon that supply-demand imbalance and relief distribution delay. In this paper, relief will be categorized from point view of government and academia, to explain the relationship between relief categorization and demand forecasting. Then introduce the characteristics of relief-demand from several aspects, such as sudden, uncertainty, timeliness, and stage. Finally, this paper gives an overall conclusion on current development of relief demand forecasting method. And elaborate the application of case-based reasoning, information entropy theory, considering safety stock in the field of relief-demand forecasting in detail, to provide reference for relief distribution.
Highlights
In the past few decades, it results in a worse negative effect on society and economy with the frequency of emergencies increasing
3) Relief demand forecasting based on safety stock theory Professor Sheu from National Chiao Tung University in Taiwan [11] assumed that the time-varying relief demand needed in a given affected area is highly correlated with the number of corresponding local survivals, being similarity with literature [10]
The forecasting accuracy is highly correlated with relief classification, the characteristics of relief-demand in the affected area, and the selection of relief-demand forecasting method
Summary
In the past few decades, it results in a worse negative effect on society and economy with the frequency of emergencies increasing. The earthquake occurred in Yaan and Chile, and so on All these emergencies lead to heavy loss of human lives and properties [1]. This paper focusing on emergency logistic system has certain practical significance. (2015) Review of Relief Demand Forecasting Problem in Emergency Logistic System. To reduce or relieve the serious results of emergencies, improving the accuracy and reliability of relief demand forecasting is an effective solution. The study on relief demand forecasting problem in emergency logistic system has a certain practical and theoretical significance. Recent years, aiming at this problem, scholar applied various theories, methods and techniques to predict the relief demand amount each affected area in emergency logistic system. An overall conclusion on the current development of relief demand forecasting method is given
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