生鲜产品云物流任务协同调度方法仿真

Simulation of Cooperative Scheduling Method for Fresh Product Cloud Logistics Tasks

生鲜产品的新鲜程度直接影响到客户对产品的满意度,提出了一种基于最低新鲜度的NSGA-II动态生鲜产品云物流任务协同调度方法。首先利用单调递减函数表示产品时间变化,构建物流任务问题模型,确定产品最低新鲜度,分析在不同新鲜度水平限制下的排列图沿面,以运费目标、时间目标、利益目标、满意度目标作为物流要求方、物流平台、物流服务方等多方统一目标,利用大数据统计实时掌握物流精准状况,完成NSGA-II动态协同调度。通过仿真,证明上述方法调度高效、适用性强、稳定性好且运营成本低,通过资源整合实现运输规模经济,提高了利润和绩效,可以达到提高顾客对生鲜产品满意度。

The freshness of fresh products has a direct impact on customers’ satisfaction degree for the products. Therefore, this paper proposed a NSGA-II dynamic fresh products cloud logistics task collaborative scheduling method based on the lowest freshness. Firstly, the monotone decreasing function was used to denote the time change of products, and then the model of logistics task problem was built to determine the minimum freshness of products. Secondly, the surface of arrangement graph under the restriction of different freshness was analyzed. Moreover, the freight, time, gain and satisfaction degree were taken as the unified goal of logistics requester, logistics platform and logistics service provider. Finally, the big data statistics was adopted to grasp the accurate logistics situation in real time and thus to complete the NSGA-II dynamic collaborative scheduling. Through the simulation experiment, it is proved that the proposed method is efficient, applicable and stable. Its operating cost is low. Through resource integration, the transportation scale economy was achieved. The profit and performance are improved, so that the customer satisfaction to fresh products can be improved.