【摘要】：隨著電子商務(wù)的飛速發(fā)展和“互聯(lián)網(wǎng)+”的強(qiáng)力推進(jìn),物流作為商流的后繼者和服務(wù)者,在提高社會(huì)經(jīng)濟(jì)效益中舉足輕重。多式聯(lián)運(yùn)能夠根據(jù)不同運(yùn)輸方式的特點(diǎn),合理安排運(yùn)輸方式的銜接,不僅能夠?qū)崿F(xiàn)物流效率的提高,而且對(duì)社會(huì)經(jīng)濟(jì)效益的提高具有顯著作用。因此,在生態(tài)問(wèn)題日益嚴(yán)峻的今天,低碳環(huán)境下多式聯(lián)運(yùn)路徑優(yōu)化研究具有重要的現(xiàn)實(shí)意義和理論意義。在現(xiàn)有的多式聯(lián)運(yùn)路徑優(yōu)化研究中,較少考慮到貨損率和非正常工作時(shí)間對(duì)路徑選擇的影響,同時(shí)碳交易價(jià)格沒(méi)有考慮供需關(guān)系的影響。然而,在追求質(zhì)量與實(shí)效的現(xiàn)代物流中,貨損時(shí)有發(fā)生,若貨物到達(dá)中轉(zhuǎn)節(jié)點(diǎn)的時(shí)間為非正常工作時(shí)間時(shí),為保障運(yùn)輸過(guò)程的實(shí)效性,多式聯(lián)運(yùn)經(jīng)營(yíng)人往往會(huì)承擔(dān)額外的轉(zhuǎn)運(yùn)費(fèi)用。另外,現(xiàn)有研究在對(duì)多目標(biāo)到單目標(biāo)進(jìn)行轉(zhuǎn)化時(shí),大多根據(jù)因素的重要程度進(jìn)行權(quán)重賦值,帶有一定的主觀性。因此,本文考慮貨損率的現(xiàn)實(shí)影響,基于系統(tǒng)工程理論,利用基于信息熵的TOPSIS方法和遺傳算法,站在多式聯(lián)運(yùn)經(jīng)營(yíng)人的角度分別建立了低碳多式聯(lián)運(yùn)路徑優(yōu)化的多目標(biāo)模型和單目標(biāo)模型。對(duì)于多目標(biāo)模型,為消除主觀因素對(duì)權(quán)重賦值造成的影響,本文運(yùn)用熵值法確定指標(biāo)權(quán)重。利用基于信息熵的TOPSIS方法與遺傳算法結(jié)合,把個(gè)體與理想解的接近程度作為適應(yīng)度函數(shù)進(jìn)行個(gè)體的優(yōu)劣選擇。通過(guò)對(duì)不同貨損率約束下的聯(lián)運(yùn)方案集進(jìn)行對(duì)比分析,驗(yàn)證了算法設(shè)計(jì)的有效性和合理性。對(duì)于單目標(biāo)模型,本文在時(shí)間窗成本中考慮了中轉(zhuǎn)節(jié)點(diǎn)處非正常工作時(shí)間可能產(chǎn)生的額外轉(zhuǎn)運(yùn)費(fèi)用;在碳排放成本中考慮了碳稅、變動(dòng)交易價(jià)格下的碳交易、碳交易背景下的碳稅三種情況,建立了對(duì)應(yīng)的總成本最小的單目標(biāo)路徑優(yōu)化模型,運(yùn)用遺傳算法進(jìn)行案例求解,分析了不同的碳稅稅率、碳排放權(quán)配額、時(shí)間窗對(duì)路徑選擇的影響,驗(yàn)證了模型和算法的可行性和有效性。本文提出的模型和算法,為多式聯(lián)運(yùn)經(jīng)營(yíng)人在復(fù)雜的環(huán)境下制定合理的多式聯(lián)運(yùn)路徑優(yōu)化方案提供了一定的決策依據(jù),對(duì)社會(huì)經(jīng)濟(jì)效益的提高、環(huán)境的可持續(xù)發(fā)展具有重要的理論意義和現(xiàn)實(shí)意義。
[Abstract]:With the rapid development of electronic commerce and the strong promotion of Internet, logistics, as a successor and service provider of commercial flow, plays an important role in improving social and economic benefits. According to the characteristics of different modes of transport, multimodal transport can arrange the connection of transportation modes reasonably, which can not only improve the efficiency of logistics, but also play an important role in the improvement of social and economic benefits. Therefore, in the increasingly serious ecological problem today, the research of multimodal transport path optimization in low carbon environment has important practical and theoretical significance. The influence of damage rate and abnormal working hours on route selection is seldom considered in the existing multimodal transport route optimization studies, and the effect of supply and demand is not taken into account in carbon trading price. However, in the pursuit of quality and effectiveness of modern logistics, damage occurs from time to time. If the time of arrival of the goods is abnormal working time, in order to ensure the effectiveness of the transportation process, Multimodal transport operators often bear additional freight charges. In addition, in the transformation of multi-objective to single-objective, most of the existing studies assign weights according to the degree of importance of factors, which is subjective to a certain extent. Therefore, based on the theory of system engineering, the TOPSIS method based on information entropy and genetic algorithm are used in this paper. The multiobjective model and the single objective model of path optimization for low carbon multimodal transport are established from the perspective of multimodal transport operator. For the multi-objective model, in order to eliminate the influence of subjective factors on the weight assignment, the entropy method is used to determine the index weight. By combining the TOPSIS method based on information entropy with genetic algorithm, the proximity between individual and ideal solution is regarded as fitness function to select individual's merits and demerits. The validity and rationality of the algorithm are verified by comparing and analyzing the combined transport schemes with different damage rates. For the single-objective model, this paper takes into account the extra transshipment cost caused by the abnormal working hours at the transfer node in the time window cost, the carbon tax in the carbon emission cost, and the carbon trading under the variable transaction price. Under the background of carbon trading, a single objective path optimization model with minimum total cost is set up, and a case is solved by genetic algorithm, and different carbon tax rates and carbon emission quota are analyzed. The influence of time window on path selection verifies the feasibility and validity of the model and algorithm. The model and algorithm proposed in this paper provide a certain decision basis for the multimodal transport operators to formulate a reasonable multimodal transport route optimization scheme under the complex environment, and improve the social and economic benefits. The sustainable development of environment has important theoretical and practical significance.
【學(xué)位授予單位】：河南大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類(lèi)號(hào)】：X196;F259.2

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本文編號(hào)：2141470