CAJ | 학술논문

为提高应急物流系统的应急反应能力，论文针对需求随机变化的应急物流定位-路径问题，利用鲁棒优化的思想将灾区物资需求量表示为区间型数据，将应急救援过程划分为多个阶段，以总救援时间和系统总成本最小为目标，构建了多物资多运输车辆应急物流定位-路径优化模型，设计了改进的遗传算法对其进行求解。实例计算结果表明，该模型和算法可以有效地解决应急物流系统中需求随机变化的定位-路径问题，为政府机构应对重大突发事件提供科学的决策参考。
위제고응급물류계통적응급반응능력，논문침대수구수궤변화적응급물류정위-로경문제，이용로봉우화적사상장재구물자수구량표시위구간형수거，장응급구원과정화분위다개계단，이총구원시간화계통총성본최소위목표，구건료다물자다운수차량응급물류정위-로경우화모형，설계료개진적유전산법대기진행구해。실례계산결과표명，해모형화산법가이유효지해결응급물류계통중수구수궤변화적정위-로경문제，위정부궤구응대중대돌발사건제공과학적결책삼고。
To improve the response capability of emergency logistics system , a stochastic demand location-routing problem in emergency logistics system is studied .Relief commodities requirements of demand points are presen-ted by intervals based on robust optimization and emergency relief procedures are divided into multi -stages, then the model of emergency location-routing problem with multi-materials multi-vehicles is developed to minimize the total system costs and total transportation time .An improved genetic algorithm is proposed to solve the model . The results show that the model and algorithm are effective for resolving the location-routing problem with stochastic demand in emergency logistics system , and it can provide scientific decision-making for government responding to major emergencies .