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基于客戶價值分類的集裝箱空箱調(diào)運問題研究

發(fā)布時間:2018-03-15 22:08

  本文選題:空箱調(diào)運 切入點:客戶價值 出處:《大連海事大學(xué)》2015年碩士論文 論文類型:學(xué)位論文


【摘要】:世界貿(mào)易的不平衡發(fā)展使得貿(mào)易流不平衡,繼而造成了集裝箱的供需不平衡。航運公司為了滿足客戶的用箱需求和自身的發(fā)展,就不得不進行空箱的調(diào)配操作,這是航運企業(yè)發(fā)展和運營中不可避免的一大問題?障湔{(diào)運問題已經(jīng)越來越受到學(xué)術(shù)界和航運企業(yè)的重視,并進行了相應(yīng)的研究。隨著集裝箱運輸實踐的深入和時間的推移,提出更加符合實際集裝箱運輸網(wǎng)絡(luò)的空箱調(diào)運的理論、模型和方法將是十分必要的;诖,全文的主要研究內(nèi)容如下:本文通過對集裝箱空箱調(diào)運系統(tǒng)進行了分析,界定了海上運輸與陸上運輸相結(jié)合的空箱調(diào)運系統(tǒng),并在分析前人研究的結(jié)果之上,提出了基于客戶價值分類的集裝箱空箱調(diào)運的思路,即將航運公司當(dāng)前的客戶群按照其價值分類,根據(jù)每類客戶空箱使用之后給航運公司帶來的收益以及為客戶配箱的成本,來確定空箱調(diào)運的策略。接下來文章應(yīng)用模糊綜合評價法和系統(tǒng)聚類分析法,將航運公司的客戶按照其當(dāng)前價值和潛在價值分成價值客戶、次價值客戶、潛在價值客戶以及低價值客戶四大類,并分別計算出每類客戶的綜合價值權(quán)重系數(shù)。在此基礎(chǔ)上,從提高航運公司的盈利水平出發(fā),基于客戶價值的分類以及每類客戶的綜合價值權(quán)重,以航運公司的收益最大為目標建立整數(shù)規(guī)劃模型,并通過算例的驗證,以及與傳統(tǒng)的不考慮客戶價值分類的空箱調(diào)運策略相對比,證明了本文模型的可行性,為航運公司決策提供有益的理論支持和方法參考。
[Abstract]:The unbalanced development of world trade makes the trade flow unbalanced, which leads to the imbalance between supply and demand of containers. In order to meet the needs of customers and their own development, shipping companies have to carry out empty container deployment operations. This is an inevitable problem in the development and operation of shipping enterprises. The problem of empty container transportation has been paid more and more attention to by academia and shipping enterprises, and has been studied accordingly. With the development of container transportation practice and the passage of time, It is necessary to put forward the theory, model and method of empty container dispatching which is more in line with the actual container transportation network. Based on this, the main research contents of this paper are as follows: this paper analyzes the empty container dispatching system. This paper defines the empty container dispatching system which combines sea transportation with land transportation, and puts forward the train of thought of empty container transportation based on customer value classification on the basis of analyzing the results of previous studies. That is to say, the current customer base of the shipping company is classified according to its value, according to the benefits to the shipping company after the empty container is used by each type of customer, and the cost of matching the boxes for the customers, Then the paper applies fuzzy comprehensive evaluation method and system cluster analysis method to divide the customers of shipping companies into value customers and sub-value customers according to their current and potential value. There are four categories of potential value customers and low value customers, and the comprehensive value weight coefficient of each customer is calculated respectively. On the basis of this, the profit level of shipping companies is improved. Based on the classification of customer value and the comprehensive value weight of each kind of customer, the integer programming model is established to maximize the profit of shipping company. Compared with the traditional empty container dispatching strategy which does not consider customer value classification, the feasibility of this model is proved, which provides useful theoretical support and method reference for shipping company decision-making.
【學(xué)位授予單位】:大連海事大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2015
【分類號】:F552.6

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