| With the development of social economy and society, natural disasters, industrial accidents, public health incidents, etc. have influenced the society more and more remarkable. In order to meet requirements of deal with these emergencies, the performance of emergency logistics is crucial and the efficiency of emergency logistics would relate to social stability and harmony.The inventory and reserve of emergency supplies are prerequisite for fulfilling emergency logistics missions. According to the properties of emergency supplies, this paper carries out the clustering operation to them by fuzzy clustering based on the analysis of the problems existing in the emergency supplies. Then, selecting proper inventory policy based on the results of cluster and using rough set analysis method to formulate emergency materiel inventory policy decision-making rule. Besides, according to analyzing the characteristic of the dynamic properties and the time-varying attribute of emergency supplies, this paper establishes an inconsistent decision system for emergency supplies inventory policies and designs the decision knowledge reduction method.In the condition of emergency supplies are well prepared, emergency logistics management decision-makers more concerned about the efficiency of emergency supplies. After introduce the significance of simulation model for emergency supplies arrive to rescue sites, based on queuing theory, assumed the time interval of emergency supplies arrive to incident or evacuation point followed normal distribution and the time of the emergency supplies perform their functions followed negative exponential distribution, this paper established the model of single rescue point single-emergency-supply and single rescue point multi-emergency-supplies performing functions. In third part of this paper the mathematic probability distribution of the performance of emergency supplies was analyzed. These models are established by ExtendSim simulation software, and simulated the two models work procedure, at last the analysis of simulation is explained. The model of multi-rescue-point single-emergency-supplies and multi-rescue-point multi-emergency-supplies can establish easily based on these two models.The evaluation of the emergency logistics support capability in the emergency logistical activities is important to construct emergency logistics infrastructure and the decision-maker to command a specific action. This article proposed the static evaluation model of emergency logistics support capability, which build the support capability index as the core, using AHP (Analytic Hierarchy Process) formulate weight operator of index, establish the Hilbert index space. And use Hilbert space unit weak compactness on the unit ball to set up emergency logistics support capability evaluation model. This model has the good data processing function, including the qualitative data and the non-qualitative data. Through the index analysis, compare the horizontal and vertical to the evaluation of the object; each index can be obtained through the indicators of the contribution to the general index and index accessibility target. Emergency logistics support capability was evaluated by an example. At the end of fourth chapter the emergency logistics common characteristics in dynamic indicators were described. The eight dynamic indicators as the main factor to the evaluation of emergency logistic dynamic support capabilities were put forward. After determining factors, each index mathematical expression was gave respectively. In the inferior foundation, the dynamic support capabilities evaluation model expression established.An information platform of inventory of emergency supplies and evaluation of emergency logistics support capability is showed in fifth chapter. Combined with computer technology, database technology and network technology the information platform can realize emergency supplies inventory control and simulation of emergency supplies take effect. It can also complete the evaluation of emergency support capabilities based on simulation foundation. These functions improve scientific and normalization of emergency logistics disposal and construction.Through several relevant projects, the related technical theories involved in this paper were verified. |