After an earthquake, affected areas have insufficient medicinal supplies, thereby necessitating substantial distribution of first-aid medicine from other supply centers. To make a proper distribution schedule, we considered the timing of supply and demand. In the present study, a “sequential time window” is used to describe the time to generate of supply and demand and the time of supply delivery. Then, considering the sequential time window, we proposed two multiobjective scheduling models with the consideration of demand uncertainty; two multiobjective stochastic programming models were also proposed to solve the scheduling models. Moreover, this paper describes a simulation that was performed based on a first-aid medicine distribution problem during a Wenchuan earthquake response. The simulation results show that the methodologies proposed in this paper provide effective schedules for the distribution of first-aid medicine. The developed distribution schedule enables some supplies in the former time windows to be used in latter time windows. This schedule increases the utility of limited stocks and avoids the risk that all the supplies are used in the short-term, leaving no supplies for long-term use.

Creating an effective and efficient distribution plan is a considerable challenge owing to urgency, incomplete information, and surging demands. In this study, a planning method based on a sliding time window series is designed to solve the problem of drug distribution in earthquake responses. First, this study presents a method designed to generate a series of sliding time windows considering time-varying demands. Second, a method is proposed to determine the effectiveness of the drug distribution plan according to its evaluation standards. Third, a dynamic planning model is established considering the sliding time window series and group information updates. Fourth, a simulation study is conducted to test the models and algorithms. Simulation results show that specific drug distribution plans should be provided to emergency planners in the event of an earthquake. The sliding time window series and group information updates are key factors in creating an effective drug distribution plan as part of an earthquake response.

The Beijing Winter Olympic Games is an extremely important event, and the supply of electricity is the basis for it. In order to prevent the sudden loss of power to the event, it is necessary to carry out power repair and restore normal power supply in the shortest possible time. Contemporary research is less focused on the emergency repair of power systems. This thesis studies the dispatching of power emergency materials in two stages and in the first stage, the minimum gap rate and the shortest time for material dispatching and transportation are mainly considered, and the required types of power emergency materials are dispatched from the storage near the Olympic venues to various power failure points. In the second stage, aiming at the shortage of power emergency materials at each fault point, the power emergency materials will be dispatched from the rear national power grid regional material reserve to the power emergency materials reserve near the Olympic venues and then dispatched to each power fault point through the power emergency materials reserve. Finally, this paper verifies the effectiveness of the combination of the primary and secondary dispatching models in an example, providing a reference for further improving the emergency response capability of the Olympic venues and improving the safety system of the power system.

There are many kinds and large scale of agricultural products in Henan Province of China. To research on regional logistics capacity of agricultural products is helpful for us to understand the advantages and disadvantages of agricultural products logistics capacity. However, there are many influencing factors and large complexity in the evaluation of agricultural product logistics ability, so it is necessary to establish a scientific variable system. In this paper, 10 variables are selected from three dimensions which are regional economic variables, regional basic variable, and regional development variable, therefore the variable system is constructed. The regional agricultural product logistics capability of 18 cities in Henan Province is evaluated by factor analysis and Cluster Analysis. It is found that logistics development is different among these cities with the low efficiency and high loss of agricultural product logistics. In addition, on the basis of conclusion of the analysis, some suggestions are putting forward to promote the development of agricultural products logistics.

At present, in Chinese emergency shelter planning, there is often a problem of ignoring the diversification of the initial needs of the victims and the time-varying escalation of the later needs, which is prone to the inefficient matching of the supply and demand of shelter resources. In this paper, three basic actions of disaster relief are analyzed according to the different needs of disaster victims, that is, stratifying evacuation of people after the disaster, planning and layout of different types of shelters, and distribution of daily medical supplies. Considering a complete coverage of demand, capacity and budget constraints, this paper constructed the joint optimization model to optimize victim evacuations, the location of the shelter and material distribution. The model can ensure the orderly and efficient operation of emergency rescue in the case of limited time and space, and realize the high-quality relocation of victims.