考虑设施中断情景的震后救援初期应急物流网络优化设计

在震后救援初期,构建合理的应急物流网络,对于快速有效供应应急物资、减轻灾情具有重大价值。在传统可靠性选址问题与应急设施选址-分配问题的基础上,考虑震后救援初期的阶段性特征、设施中断情景、多品种模糊需求、设施能力限制等因素,建立了一个适用于震后救援初期的应急设施选址-分配模型。通过三角模糊数的期望值公式将模糊需求去模糊化。在此基础上,考虑模型特点,设计了一种整数编码的混合遗传算法。最后,以5·12汶川地震为背景,构造算例进行数值仿真。验证了所提模型和算法。结果表明:考虑设施中断情景后,即使系统中的部分设施失效,整个网络仍能较好运行,且优化结果更具可靠性和稳健性。

Optimization Design of Emergency Logistics Network Considering Facility Disruption Scenarios during the Early Stage of Post-Earthquake Relief

Building a reasonable emergency logistics network at the early stage of post-earthquake relief is significant to effectively provide emergency supplies and relieve disaster. We define the problem as an emergency facility location-allocation problem(FLAP). Firstly, an emergency FLAP model for post-earthquake early stage rescue is proposed based on traditional reliable facility location problem(RFLP)model and emergency facility location problem(FLP)model. The goal is to minimize the maximum delivery time under any scenario. Then, the stage characteristics, facility disruption scenarios, fuzzy requirements, facility capacity constraints and other factors are considered into the LAP model simultaneously. The expected value formula of triangular fuzzy numbers is applied to remove fuzziness. In addition, a hybrid genetic algorithm(GA)with integer coding is designed to solve the model according to the characteristics of the model. Finally, an example is given to validate the effectiveness of the model and algorithm with the background of “5·12 WenChuan earthquake”.