【摘要】：近年來,隨著國內(nèi)電子商務市場的蓬勃發(fā)展,快遞企業(yè)作為物流服務的主要承接商,也面臨著諸多亟需解決的問題,其中一個典型的問題就是：快遞業(yè)務量的迅速上升,對快遞站點如何高效利用其貨柜存儲空間提出了嚴峻的挑戰(zhàn)。如何應用現(xiàn)有的管理科學方法優(yōu)化分配快遞站點的有限貨柜存儲空間,則成為一個非常具有理論意義和現(xiàn)實應用價值的研究課題�；诖�,本文根據(jù)快遞站點貨柜存儲空間分配的特點,嘗試構(gòu)建合理有效的優(yōu)化模型,以幫助快遞站點制定貨柜存儲空間動態(tài)分配計劃。首先,為有效預測在未來不遠時期內(nèi)的快遞業(yè)務量變化,本文構(gòu)建集成ARIMA-NN模型,用以刻畫快遞站點業(yè)務量的時間序列數(shù)據(jù)變化規(guī)律,進而預測未來短期內(nèi)的貨柜需求量。其次,本文分別在不考慮空車配載和考慮空車配載的情況下,構(gòu)建兩類快遞站點貨柜存儲空間的時空網(wǎng)絡優(yōu)化模型并設計了相應的求解算法,模型實質(zhì)為多個相互關聯(lián)的0-1整數(shù)規(guī)劃模型的整合；算例及敏感性分析表明：根據(jù)該模型的求解結(jié)果,快遞站點在各個時間點上的貨柜存儲空間分配情況均得到清晰的展現(xiàn)。最后,本文在綜合考量多個快遞站點之間關系的基礎上,進一步優(yōu)化與擴展之前構(gòu)建的時空網(wǎng)絡模型,并應用該模型確定多個快遞站點之間的最佳運輸路線,然后根據(jù)每個快遞站點快件到達的時間與數(shù)量,求得每個快遞站點的最佳貨柜分配策略。本文的研究成果不僅適用于解決快遞站點貨柜存儲空間的動態(tài)分配問題,還可以用于其它可循環(huán)利用的空間資源分配問題,如醫(yī)院病床的分配、木材堆放場規(guī)劃等問題。
[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.
【學位授予單位】：南京理工大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：F252

【參考文獻】

相關期刊論文 前1條

1 余明珠;李建斌;雷東;;裝卸一體化的車輛路徑問題及基于插入法的新禁忌算法[J];中國管理科學;2010年02期

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本文編號：2405577