摘要
针对重大灾害初期救援活动中灾区优先级不明确和孤立地区物资无法及时送达等突出问题,在传统应急物流选址-路径模型基础上,构建考虑道路中断和灾区优先级的应急物流选址-路径模型。通过熵权-优劣解距离法(TOPSIS)确立灾区的优先级,采用多方式同时配送模式,以救援过程中总配送时间最短、总成本及系统损失最小为目标,构建应急物流的多目标选址-路径优化模型,并设计带精英策略的快速非支配排序遗传算法(NSGA-II)对模型进行求解。以Solomon公共数据集R109为算例,与不考虑道路中断进行对比,验证模型的有效性。结果表明:考虑道路中断和灾区优先级的应急物流选址-路径模型时间缩短19.9%、系统损失降低46.2%、成本增加5.9%,在保证救援效率、减少损失的同时,兼顾孤立地区的配送服务。研究结果对应急物流选址-路径优化有一定的参考价值。
In response to the prominent issues of unclear priority of disaster areas and the inability to timely deliver supplies to isolated regions during the initial rescue operations of major disasters.Based on the traditional emergency logistics location-routing model,an emergency logistics location-routing optimization model that takes into account road interruptions and disaster areas priorities is proposed.The priorities of disaster areas are determined using the entropy weight method-technique for order preference by similarity to an ideal solution(entropy-topsis),and a multi-mode simultaneous distribution approach is adopted.The objective of the emergency logistics multi-objective location-routing optimization model is to minimize the total delivery time,total cost,and system losses during the rescue process.We employ the non-dominated sorting genetic algorithm II with an elite strategy(NSGA-II)to solve the model.Using the R109 case from the Solomon public dataset as a example.Compared the results with those obtained without considering road interruptions to validate the effectiveness of the model.The results show that the emergency logistics location-routing model considering road interruptions and disaster area priorities reduces the time by 19.9%,decreases system losses by 46.2%,and increases costs by 5.9%.This model ensures rescue efficiency,minimizes losses,and considers the delivery service to isolated regions.The research results have certain reference value for the site selection-path optimization of emergency logistics.
作者
庄伟卿
郑俊飞
林圣志
ZHUANG Weiqing;ZHENG Junfei;LIN Shengzhi(School of Internet Economics and Business,Fujian University of Technology,Fuzhou 350014,China;School of Transportation,Fujian University of Technology,Fuzhou 350118,China;College of Economics and Management,Fujian Agriculture and Forestry University,Fuzhou 350002,China)
出处
《交通科技与经济》
2024年第4期18-26,共9页
Technology & Economy in Areas of Communications
基金
国家社科基金一般项目(22BGL007)。
