發(fā)布時(shí)間：2018-07-08 12:13

  本文選題：多式聯(lián)運(yùn) + 時(shí)間窗��； 參考：《重慶交通大學(xué)》2017年碩士論文

【摘要】：經(jīng)濟(jì)的快速崛起特別是對(duì)外貿(mào)易的不斷發(fā)展帶動(dòng)著我國(guó)港口貨物集裝箱吞吐量的快速增長(zhǎng)。與此同時(shí),隨著我國(guó)“一帶一路”及區(qū)域經(jīng)濟(jì)帶的戰(zhàn)略規(guī)劃部署,諸如“渝新歐”和“長(zhǎng)江黃金航道”等中西部?jī)?nèi)陸集裝箱貨運(yùn)通道也被打通。集裝箱吞吐量的不斷增加和各項(xiàng)規(guī)劃政策的出臺(tái)使得多式聯(lián)運(yùn)在我國(guó)迎來了發(fā)展的好時(shí)期。與歐美國(guó)家相比,我國(guó)多式聯(lián)運(yùn)的發(fā)展不但起步較晚,而且也存在運(yùn)輸效率低、路線規(guī)劃不合理以及運(yùn)輸時(shí)效性不強(qiáng)等弊端。因此,為使多式聯(lián)運(yùn)更好的服務(wù)于社會(huì)經(jīng)濟(jì)的發(fā)展,使多式聯(lián)運(yùn)從以運(yùn)輸能力為依托轉(zhuǎn)向以效率和服務(wù)為支撐。本文針對(duì)運(yùn)輸過程中的時(shí)效性問題,從提高承運(yùn)企業(yè)經(jīng)濟(jì)效益和滿足客戶對(duì)時(shí)效性個(gè)性化需求的角度出發(fā),對(duì)多式聯(lián)運(yùn)的路徑優(yōu)化展開了研究。與傳統(tǒng)追求最短運(yùn)輸時(shí)間不同的是,本文從時(shí)間彈性的層面去研究多式聯(lián)運(yùn)的路徑優(yōu)化,將時(shí)間窗分類中的軟時(shí)間窗模式應(yīng)用于模型的構(gòu)建,并通過遺傳算法對(duì)模型進(jìn)行了求解。在保證運(yùn)輸成本最低的情況下,使貨物在規(guī)定的時(shí)間范圍內(nèi)到達(dá)。論文的主要工作如下:(1)查閱了國(guó)內(nèi)外關(guān)于多式聯(lián)運(yùn)的文獻(xiàn)研究資料,并對(duì)其進(jìn)行了梳理總結(jié),這些文獻(xiàn)資料是本論文的研究基礎(chǔ),在此基礎(chǔ)上提出了本文的觀點(diǎn)。(2)詳細(xì)分析了論文中需要運(yùn)用到的多式聯(lián)運(yùn)、網(wǎng)絡(luò)圖論以及時(shí)間窗等理論知識(shí),并就多式聯(lián)運(yùn)路徑優(yōu)化的基礎(chǔ)TSP和VRP問題進(jìn)行了詳細(xì)闡述,從而為模型的構(gòu)建作準(zhǔn)備。(3)構(gòu)建了考慮時(shí)間與成本因素的多式聯(lián)運(yùn)路徑優(yōu)化模型,將模型應(yīng)用到具體的算例分析中去,通過遺傳算法對(duì)模型進(jìn)行求解,從而得出最優(yōu)運(yùn)輸路線,并通過對(duì)比其它算法的求解結(jié)果來驗(yàn)證本文構(gòu)建模型和算法的有效性。本文的研究結(jié)論:通過模型的計(jì)算結(jié)果來看,在多式聯(lián)運(yùn)路徑優(yōu)化中引入時(shí)間窗因素,一方面可以使承運(yùn)企業(yè)避免提前或延遲到達(dá)而產(chǎn)生額外的費(fèi)用,從而提高運(yùn)輸?shù)慕?jīng)濟(jì)效益;另一方面通過合理優(yōu)化,在提高運(yùn)輸效率的同時(shí),還可以滿足客戶對(duì)運(yùn)輸時(shí)效性的個(gè)性化需求,提高客戶的滿意度。
[Abstract]:The rapid rise of economy, especially the continuous development of foreign trade, is driving the rapid growth of container throughput in China's ports. At the same time, with the strategic planning and deployment of "Belt and Road" and regional economic belt in China, inland container freight corridors such as "Chongqing, New Europe" and "Golden Channel of the Yangtze River" in the central and western regions have also been opened up. With the increasing of container throughput and the coming out of various planning policies, multimodal transport has ushered in a good period of development in China. Compared with European and American countries, the development of multimodal transport in our country is not only late, but also has some disadvantages, such as low transportation efficiency, unreasonable route planning and poor timeliness of transportation. Therefore, in order to make multimodal transport better serve the development of social economy, multimodal transport has changed from capacity to efficiency and service. In view of the timeliness problem in the transportation process, this paper studies the route optimization of multimodal transport from the angle of improving the economic benefit of the carrier and satisfying the customers' individualized demand for timeliness. Different from the traditional pursuit of the shortest transport time, this paper studies the path optimization of multimodal transport from the aspect of time elasticity, and applies the soft time window model of time window classification to the construction of the model. The model is solved by genetic algorithm. Make the goods arrive within the specified time frame with the lowest transportation cost. The main work of the thesis is as follows: (1) the literature on multimodal transport at home and abroad is reviewed and summarized, which is the basis of this paper. On this basis, this paper puts forward the viewpoint of this paper. (2) the theoretical knowledge of multimodal transport, network graph theory and time window are analyzed in detail, and the basic problems of path optimization of multimodal transport, tsp and VRP, are expounded in detail. In order to prepare for the construction of the model. (3) the multimodal transport route optimization model considering the factors of time and cost is constructed, and the model is applied to the concrete example analysis, the model is solved by genetic algorithm, and the optimal transportation route is obtained. The validity of the model and algorithm is verified by comparing the results of other algorithms. The conclusion of this paper is that the introduction of time window factor in multimodal transport route optimization can make the carrier avoid the extra cost of early or late arrival. On the other hand, through reasonable optimization, the transportation efficiency can be improved, and the customer's individualized demand for the timeliness of transportation can also be satisfied, and the customer's satisfaction can be improved.
【學(xué)位授予單位】：重慶交通大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：F512.4;F259.2

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