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作 者:王纯 WANG Chun(School of Economics and Management,Hebei University of Technology,Tianjin 300401,China)
机构地区:[1]河北工业大学经济管理学院
出 处:《价值工程》2019年第36期154-157,共4页Value Engineering
基 金:河北省社会科学基金(No.HB18GL036)
摘 要:针对突发公共卫生事件之后的应急物流系统,以总成本最小为目标建立了不确定机会约束模型。考虑到实际情况,假设应急物资必须在需求点的限制期内到达以及车辆与候选配送中心的容量是有限的,并且认为需求点的需求量是不确定的,但是两节点的运输时间是确定的。同时为了节约成本,还假设车辆在完成配送任务后就近停靠在已开设的配送中心。进一步,应用遗传算法对该模型进行求解,最终给出算例来说明模型以及算法的可用性。For the emergency logistics system after public health emergency,an uncertain opportunity constraint model is established with the goal of minimum total cost.Considering the actual situation,it is assumed that the emergency supplies must arrive before the restriction period of the demand point and the capacity of the vehicle and the candidate distribution center is limited,and the material demand of the demand point is considered to be uncertain,but the transportation time of the two nodes is determined.At the same time,in order to save costs,it is also assumed that the vehicle will stop at the already opened distribution center after completing its own distribution task.Furthermore,the genetic algorithm is applied to solve the model,and an example is given to prove the validity of the model and the algorithm.
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