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基于需求紧迫度的不相容应急物资配送的车辆路径选择

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为解决不相容物资在应急情况下的实际配送问题,建立基于需求紧迫度的不相容应急物资配送的车辆路径选择模型并求解.首先构建应急物资需求紧迫度评价指标体系,结合灰色模糊和TOPSIS评价法,求解需求点的应急物资需求紧迫度.然后考虑不相容应急物资的多车型运输及不同节点需求紧迫度不同的实际情况,以应急物资运输总成本最小和应急物资运输时间最短为目标,建立不相容应急物资的车辆路径选择模型,设计遗传算法求解,结合城市流行病毒感染案例求解并验证模型和算法的有效性.研究结果表明:无论目标函数中的权重取何值,相较于不考虑需求紧迫度,考虑需求紧迫度的运输成本更低,本文设计模型在考虑物资不相容的实际情况下能有效降低应急物资配送成本.研究结果可为应急管理部门优化物资配送策略和降低运输成本提供理论参考和方法支持.
Vehicle path selection for distribution of incompatible emergency materials based on demand urgency
To address the practical distribution issues of incompatible materials in emergency situations,a vehicle path selec-tion model for the distribution of incompatible emergency materialsbased on demand urgency was established and solved. First-ly,an evaluation index system for the demandurgency of emergency materialswas constructed,and the demandurgency of emer-gency materials at various demand points was determined byusing the grey fuzzy and TOPSIS evaluation methods. Then,con-sidering the multi-vehicle transportation of incompatible emergency materials and the differing demand urgency levels of dif-ferent nodes,a vehicle path selection modelof incompatible emergency materialswas developed with the objectives of the mini-mum total transportation cost and the shortest transportation time of emergency materials. Finally,a genetic algorithm was de-signed to solve this model,and the effectiveness of model and algorithm was validated through a case study of urban viral in-fection. The results show that regardless of the weight values in the objective function,the transportation cost considering de-mand urgency is lower compared with not considering demand urgency. The proposed model can effectively reduce the distri-bution costs of emergency materials while accounting for the material incompatibility. The research results can provide scientif-ic basis and method support for emergency management departments to optimize the materials distribution strategies and re-duce the transportation costs.

emergency transportationincompatible materialsdemand urgencygenetic algorithm

郭瑞军、范超冉、刘悦、姜凯宁

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大连交通大学交通工程学院,辽宁大连 116028

应急运输 不相容物资 需求紧迫度 遗传算法

2024

中国安全生产科学技术
中国安全生产科学研究院

中国安全生产科学技术

CSTPCD北大核心
影响因子:1.119
ISSN:1673-193X
年,卷(期):2024.20(12)