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Logistics routes optimization model under large scale emergency incident

机译:大规模突发事件下的物流路径优化模型

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摘要

Long duration, to-and-fro interleaving transportation among multi supply places and multi demand places are main features of emergency goods logistics under large scale emergency incidents. To implement large scale emergency goods distribution effectively according to demand, the routes logistics optimization model among multi supply places and multi demand places under large scale emergency incident is established. Several preconditions of the model are given, the optimization objectives include that emergency routes should be selected along the largest emergency goods flow direction, the curve degree of emergency routes should be minimized, the burden of emergency routes should be balance, and the repeat parameter of emergency network should be minimized as far as possible. Some constraints such as transportation quantity, length, curve degree of emergency routes, avoiding of isolated point and the number limit of emergency routes are considered. Above multi-objective non-linear programming model is transferred, and its solving method by GA is designed. The emergency logistics problem within one certain typical region is taken as the research instance, the validity of the model and its solving algorithm is validated. The obtained calculation result shows that, under the precondition of meeting the emergency routes' length and flow quantity, the emergency network performances such as repeat parameter, route exchanging times per transportation, number of isolated nodes, burden balance degree of emergency routes, average curve degree of emergency routes are satisfied. Under large emergency incidents, above routes optimization model and algorithm will benefit for improving efficiency and precision of emergency logistics, and its maneuverability is strong.
机译:长时间,多供应地点和多需求地点之间的来回交错运输是大规模突发事件下应急物资物流的主要特征。为了有效地根据需求进行大规模的应急物资配送,建立了大规模应急事件下多供给点与多需求点之间的路径物流优化模型。给出了该模型的几个前提条件,优化目标包括:沿最大应急物资流向选择应急路线,使应急路线的弯度最小化,平衡应急路线的负担,并采用重复参数。应急网络应尽可能减少。考虑了运输量,长度,应急路线的弯度,避开孤立点,应急路线的数量限制等约束条件。转移了以上多目标非线性规划模型,设计了基于遗传算法的求解方法。以某一典型区域内的应急物流问题为研究实例,验证了该模型及其求解算法的有效性。计算结果表明,在满足应急路线长度和流量的前提下,应急网络性能具有重复参数,单次运输的换道次数,隔离节点数,应急路线的负担平衡度,平均曲线等特点。紧急路线的程度得到满足。在发生重大突发事件时,上述路线优化模型和算法将有利于提高应急物流的效率和精度,机动性强。

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