Emergency Logistics Management After The Earthquake

At the present time, the frequent occurrence of the worldwide earthquake disasters bringgreat threats to people’s lives and properties. Meanwhile, the earthquake-relief work willinevitably give rise to a great demand of emergence supplies. As the emergency supplies are thebasic foundation and guarantee of the disaster-relief work, the research on the demand of theemergency supplies is of great significance.The development of Emergency logistics is still in its infancy in China. There are still manyproblems in the management of emergency supplies, for example, the allocation of supplies is nottimely, and the supply and demand of the supplies is unbalanced. In order to mitigate the lossescaused by the earthquake disaster, it is necessary to conduct further study on the required quantityof emergency supplies and the extent of areas affected, thus establishing an effective emergencysafeguard system.Emergency logistics is the basis of emergency management. Establishing a comprehensiveemergency logistics system can ensure that the emergency supplies could be delivered smoothly tothe earthquake-stricken areas, and reduce the hazards of earthquake disaster. Whether theemergency supplies can be delivered timely and adequately to the earthquake-stricken areas isrelated to the success or failure of the emergency relief work. Taking the disaster of earthquake forexample, this study focused on the problems involved in two aspects, which were based on thenumber of earthquake survivors, including demand forecast and allocation of life support suppliesafter the earthquake. BP neural network was adopted to predict the number of people who wereaffected by the earthquake and forecast demand amounts of emergency supplies for theearthquake-stricken areas. At the same time, fuzzy clustering method was used for grouping thedamage in earthquake-stricken areas, and then the demand priority sequences were determined.Finally, according to the coefficient of clustering urgent degree, the emergency supplies wereallocated. This study provides effective decision approaches to relevant emergency managementinstitutions, aiming to help them improve the efficiency of earthquake-relief operations.