摘要
科学合理的铁路物流服务方案设计方法对提高服务方案设计效率和降低设计成本具有重要意义。针对铁路物流服务方案设计缺少科学依据、设计效率低等问题,引入模块化设计理念,建立以服务时间最小、服务成本最小和碳排放量最小为目标的数学模型,提出基于非支配排序遗传算法(NSGA-Ⅱ)的模型求解算法。以邛崃工厂至贵阳地区的铁路"门到门"全程物流服务方案设计为例进行验证,结果表明,基于NSGA-Ⅱ的铁路物流服务方案设计方法能够科学指导服务方案设计,为解决铁路物流服务方案设计问题提供依据。
It is of great significance to improve the efficiency of service solution design and reduce the design cost by using scientific and reasonable design method of railway logistics service solution. In view of the lack of scientific basis and low design efficiency of railway logistics service solution design, the concept of modular design is introduced, and then we establish a mathematical model aiming at minimizing service time, minimizing service cost and minimizing carbon emissions.The NSGA-Ⅱ algorithm is proposed to solve the problem. The method is validated by taking the railway "door-to-door" logistics service solution configuration from Qionglai factory to Guiyang as an example. The results show that configuration method of railway logistics service solution based on NSGA-Ⅱ can guide the design of service solution scientifically and provide a basis for solving the problem of railway logistics service solution design.
引文
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