| Summary |
Chia-Hsin Liu, 2007,06
Institute of Traffic and Transportation National Chiao Tung University
Because of rescue time, quantity and quality of resources and information of affected areas are limited. After the large-scale earthquake disaster happened, how to distribute urgent relief effectively, efficiently and precisely is vital to the alleviation of disaster impact in the affected areas, which remains challenging in the field of logistics and related study areas. In this study, we present a data-fusion approach to the operations of emergency relief distribution system responding to deal with the disorder information in the initial stage of disaster. Based on a proposed 2-layer consuming emergency relief demand forecasting conceptual framework, the proposed methodology involves two recursive mechanisms: (1) consuming relief demand forecasting, and (2) disaster-affected area grouping. Numerical studies with a simulated data sets are conducted, and the corresponding results indicate the applicability of the proposed method and its potential advantages. We hope that this study can not only make the proposed emergency logistics system available with more benefits to the development of emergency logistics systems for the urgent needs of disaster areas around the world but also stimulate more excellent researches concerning emergency logistics management. |
