考虑凸形障碍的应急设施选址与资源分配决策研究

应急设施是应急救援的依托载体,其科学合理的选址事关应急救援的紧迫性和应急资源分配的及时性,障碍约束下的应急设施选址与应急资源分配决策研究具有重要的战略意义.从需求区域的视角和应急设施应急服务质量的视角构建基于障碍约束、容量及安全库存约束的应急设施选址与资源分配优化模型,引入安全库存机制,综合考虑时间性、经济性及地理阻断等多重约束限制,剖析选址和应急物资分配的决策过程,进行应急设施的选址决策和应急物资分配预案的制定.设计灰狼优化算法(GWO)与可视凸点绕障路径耦合算法求解模型,结果表明:所设计算法能有效实现绕障路径的优化,且在需求区域的不同时间满意度偏好下,获得最优的选址-分配方案,研究成果将为应急设施选址与资源分配提供模型和方法设计.

Emergency facility location-allocation problem with convex barriers

Emergency facilities are the carrier of emergency rescue, the scientific and reasonable location is related to the urgency of emergency rescue and the timeliness of distribution of emergency resources, it is of great strategic significance to study the location of emergency facilities and the decision-making of emergency resource allocation with obstacle constraints. From the perspective of demand area and the emergency service quality of emergency facilities, a location-allocation optimization model of emergency facilities based on obstacle constraints, capacity and safety stock constraints was constructed. The paper introduced a safe stock mechanism and considered the multiple constraints such as time, economy and geographic blocking, the decision-making process of the location and distribution was analyzed to establish a location-allocation scheme for emergency facilities. Coupled grey wolf optimizer (GWO) and visual convex point method was presented to solve the model, numerical examples show that the proposed algorithm can efficiently optimize path around barriers, and get the optimal location allocation scheme under different time satisfaction preference of various regions. The research results will provide a model and methodological design for the location and resource allocation of emergency facilities.