快递站点货柜存储空间动态分配优化研究
发布时间：2019-01-09 11:43
【摘要】：近年来,随着国内电子商务市场的蓬勃发展,快递企业作为物流服务的主要承接商,也面临着诸多亟需解决的问题,其中一个典型的问题就是：快递业务量的迅速上升,对快递站点如何高效利用其货柜存储空间提出了严峻的挑战。如何应用现有的管理科学方法优化分配快递站点的有限货柜存储空间,则成为一个非常具有理论意义和现实应用价值的研究课题。基于此,本文根据快递站点货柜存储空间分配的特点,尝试构建合理有效的优化模型,以帮助快递站点制定货柜存储空间动态分配计划。首先,为有效预测在未来不远时期内的快递业务量变化,本文构建集成ARIMA-NN模型,用以刻画快递站点业务量的时间序列数据变化规律,进而预测未来短期内的货柜需求量。其次,本文分别在不考虑空车配载和考虑空车配载的情况下,构建两类快递站点货柜存储空间的时空网络优化模型并设计了相应的求解算法,模型实质为多个相互关联的0-1整数规划模型的整合；算例及敏感性分析表明：根据该模型的求解结果,快递站点在各个时间点上的货柜存储空间分配情况均得到清晰的展现。最后,本文在综合考量多个快递站点之间关系的基础上,进一步优化与扩展之前构建的时空网络模型,并应用该模型确定多个快递站点之间的最佳运输路线,然后根据每个快递站点快件到达的时间与数量,求得每个快递站点的最佳货柜分配策略。本文的研究成果不仅适用于解决快递站点货柜存储空间的动态分配问题,还可以用于其它可循环利用的空间资源分配问题,如医院病床的分配、木材堆放场规划等问题。
[Abstract]:In recent years, with the rapid development of domestic e-commerce market, express delivery enterprises, as the main carriers of logistics services, are also faced with many problems that need to be solved, one of which is the rapid increase of express delivery business. Express station how to efficiently use its container storage space put forward a severe challenge. How to optimize the allocation of limited container storage space in express delivery stations by using the existing management scientific methods has become a research topic of great theoretical significance and practical application value. Based on this, according to the characteristics of container storage space allocation at express stations, this paper tries to build a reasonable and effective optimization model to help express stations to formulate the dynamic distribution plan of container storage space. Firstly, in order to effectively predict the changes of express delivery volume in the near future, this paper constructs an integrated ARIMA-NN model to describe the time series data changes of express traffic, and then predict the container demand in the near future. Secondly, this paper constructs the optimization model of the container storage space of two kinds of express stations and designs the corresponding algorithm without considering the empty car loading and the empty car loading. The model is essentially the integration of multiple interrelated 0-1 integer programming models. Numerical examples and sensitivity analysis show that the distribution of container storage space at each time point is clearly displayed according to the solution result of the model. Finally, on the basis of synthetically considering the relationship between multiple express delivery stations, this paper further optimizes and extends the space-time network model constructed before, and uses the model to determine the best transportation route between multiple express stations. Then according to the arrival time and quantity of express shipment, the best container allocation strategy is obtained. The research results of this paper are not only suitable for solving the dynamic allocation of container storage space in express delivery stations, but also for other reusable spatial resource allocation problems, such as the allocation of hospital beds, the planning of timber storage yard, and so on.
【学位授予单位】：南京理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：F252
本文编号：2405577
[Abstract]:In recent years, with the rapid development of domestic e-commerce market, express delivery enterprises, as the main carriers of logistics services, are also faced with many problems that need to be solved, one of which is the rapid increase of express delivery business. Express station how to efficiently use its container storage space put forward a severe challenge. How to optimize the allocation of limited container storage space in express delivery stations by using the existing management scientific methods has become a research topic of great theoretical significance and practical application value. Based on this, according to the characteristics of container storage space allocation at express stations, this paper tries to build a reasonable and effective optimization model to help express stations to formulate the dynamic distribution plan of container storage space. Firstly, in order to effectively predict the changes of express delivery volume in the near future, this paper constructs an integrated ARIMA-NN model to describe the time series data changes of express traffic, and then predict the container demand in the near future. Secondly, this paper constructs the optimization model of the container storage space of two kinds of express stations and designs the corresponding algorithm without considering the empty car loading and the empty car loading. The model is essentially the integration of multiple interrelated 0-1 integer programming models. Numerical examples and sensitivity analysis show that the distribution of container storage space at each time point is clearly displayed according to the solution result of the model. Finally, on the basis of synthetically considering the relationship between multiple express delivery stations, this paper further optimizes and extends the space-time network model constructed before, and uses the model to determine the best transportation route between multiple express stations. Then according to the arrival time and quantity of express shipment, the best container allocation strategy is obtained. The research results of this paper are not only suitable for solving the dynamic allocation of container storage space in express delivery stations, but also for other reusable spatial resource allocation problems, such as the allocation of hospital beds, the planning of timber storage yard, and so on.
【学位授予单位】：南京理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：F252
【参考文献】
相关期刊论文 前1条
1 余明珠;李建斌;雷东;;装卸一体化的车辆路径问题及基于插入法的新禁忌算法[J];中国管理科学;2010年02期
，本文编号：2405577
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