Goods Demand Forecast and Dispatching Plan in Aviation Emergency Rescue
Ming Zhang, Hui Yu, Shuo Wang, Xiangyu Li, Yi Zhou
Available Online January 2016.
- https://doi.org/10.2991/etmhs-16.2016.144How to use a DOI?
- aviation emergency rescue; fuzzy clustering; Aircraft path planning; material distribution
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Ming Zhang AU - Hui Yu AU - Shuo Wang AU - Xiangyu Li AU - Yi Zhou PY - 2016/01 DA - 2016/01 TI - Goods Demand Forecast and Dispatching Plan in Aviation Emergency Rescue BT - 2016 2nd International Conference on Education Technology, Management and Humanities Science PB - Atlantis Press SP - 647 EP - 657 SN - 2352-5398 UR - https://doi.org/10.2991/etmhs-16.2016.144 DO - https://doi.org/10.2991/etmhs-16.2016.144 ID - Zhang2016/01 ER -