针对物流配送过程中的车辆故障问题,提出了临近救援策略和优化方案。在车辆调度、干扰管理和行为运筹理论的基础上,在对故障车辆进行救援的过程中对配送主体的感知因素进行提取和度量,并构建考虑配送主体感知的救援车辆调度模型。然后设计了遗传算法和2-opt算法的混合遗传算法,并对模型进行优化求解,最后通过仿真对比分析,验证了模型和算法的有效性。
Aiming at the problem of vehicle breakdowns in the process of logistics distribution, adjoin rescue strategy and optimization scheme are put forward. The study is based on the vehicle scheduling, the theory of disruption management and the theory of behavioral operation. In the rescue process of breakdown vehicles, the perception factors on distribution entities are extracted and measured. And a rescue vehicle scheduling model is built considering the perception of the distribution subject. A hybrid genetic algorithm is designed which combines the genetic algorithm with the 2-opt algorithm for the model. Finally. the effectiveness of the model and algorithm is verified by simulation analysis.