నైరూప్య

Goods demand forecast and dispatching plan in aviation emergency rescue

Ming Zhang, Yi Zhou

For the time-dependent nature of goods and materials demand and the complexity of dispatching plan in aviation rescue countering major natural disasters, different methods of buffering demands have been adopted to solve the problem of differences in demand for fast-moving consumer goods and durable goods and fuzzy clustering has been employed to divide the disaster-hit area and to determine the dispatching priority; at the end of this paper, problems in aircraft route planning and delivery scheme have been solved by establishing a planning model of goods dispatching and designing some corresponding solution algorithms, in this way a systemic reaction chain of aviation rescue has been built. Results of simulation analysis of examples have shown that this rescue chain is of remarkable effect in dealing with the dynamic forecast of goods and materials demand in disaster-hit area and the time-dependent nature in the whole rescue network and the complexity of large-scale coordinated dispatching.