發(fā)布時(shí)間：2019-03-13 10:30

【摘要】：海陸一體化運(yùn)輸是從海、陸空間角度出發(fā),在現(xiàn)有海陸運(yùn)輸網(wǎng)絡(luò)的基礎(chǔ)上實(shí)現(xiàn)海、陸運(yùn)輸?shù)囊惑w化銜接。為了滿足可持續(xù)發(fā)展的需求,依靠單純的海上運(yùn)輸系統(tǒng)或者陸上運(yùn)輸系統(tǒng)已無(wú)法達(dá)到最終目的,海陸聯(lián)動(dòng)開(kāi)發(fā)的海陸一體化運(yùn)輸已成為了當(dāng)前及未來(lái)運(yùn)輸?shù)闹饕l(fā)展趨勢(shì)。本文從海陸一體化的角度出發(fā),分析研究海陸一體化運(yùn)輸系統(tǒng),并分別對(duì)海上運(yùn)輸系統(tǒng)、陸上運(yùn)輸系統(tǒng)、海陸銜接典型環(huán)節(jié)進(jìn)行優(yōu)化。針對(duì)海上運(yùn)輸系統(tǒng),以滾裝船配載這一典型環(huán)節(jié)優(yōu)化為研究對(duì)象,建立了基于成品車(chē)多裝貨港、多卸貨港的多階段配載模型。根據(jù)該模型的特點(diǎn),設(shè)計(jì)了遺傳算法進(jìn)行求解;并通過(guò)大量的數(shù)值例仿真實(shí)驗(yàn),驗(yàn)證了算法的有效性。將使用遺傳算法求解結(jié)果與基于現(xiàn)實(shí)調(diào)度規(guī)則的結(jié)果進(jìn)行對(duì)比,進(jìn)一步驗(yàn)證了算法的效率和魯棒性。開(kāi)發(fā)了滾裝船舶配載信息管理系統(tǒng),提高了裝卸效率和準(zhǔn)確性,為滾裝船舶的安全性提供有效的支持。針對(duì)陸上運(yùn)輸系統(tǒng),以共同配送作業(yè)優(yōu)化這一典型環(huán)節(jié)優(yōu)化為研究對(duì)象,建立了共同配送模式下貨量分配、路徑優(yōu)化與成本分?jǐn)倲?shù)學(xué)模型。利用改進(jìn)的遺傳算法對(duì)所提出問(wèn)題進(jìn)行求解。算例實(shí)驗(yàn)結(jié)果表明,在共同配送模式下,無(wú)論是聯(lián)盟總體還是各個(gè)配送中心個(gè)體,其配送總成本都有很大幅度的節(jié)省。針對(duì)海陸銜接運(yùn)輸系統(tǒng),以整車(chē)物流路徑優(yōu)化這一典型環(huán)節(jié)優(yōu)化為研究對(duì)象,提出共享車(chē)輛與共享分撥中心(VDC)兩種資源共享資源模式,并構(gòu)建資源共享模式下以總費(fèi)用最小為目標(biāo)函數(shù)的整車(chē)物流路徑優(yōu)化數(shù)學(xué)模型。設(shè)計(jì)結(jié)合節(jié)約里程法和掃描法的遺傳算法對(duì)所提出的問(wèn)題進(jìn)行求解。代入實(shí)際數(shù)據(jù)進(jìn)行計(jì)算,結(jié)果表明使用資源共享的方法能夠減少大約30%的運(yùn)輸費(fèi)用;并對(duì)不同公路重載運(yùn)輸單位運(yùn)輸成本下最優(yōu)成本的變化情況進(jìn)行了比較分析,結(jié)果認(rèn)為:單位運(yùn)輸成本越大,采用傳統(tǒng)單獨(dú)運(yùn)輸?shù)某杀驹酱?越應(yīng)采用共享運(yùn)輸模式。但若公路重載運(yùn)輸單位成本與鐵路和水路運(yùn)輸?shù)某杀驹浇咏?則共享模式的優(yōu)勢(shì)越弱,成本節(jié)省率也就越低。
[Abstract]:Land-sea integrated transport is to realize the integration of sea and land transportation from the point of view of sea and land space and on the basis of the existing land-sea transport network. In order to meet the demand of sustainable development, it is impossible to achieve the ultimate goal by simply sea transportation system or land transportation system. Sea-land integrated transportation has become the main development trend of transportation at present and in the future. From the point of view of land-sea integration, this paper analyzes and studies the sea-land integration transportation system, and optimizes the sea transportation system, land transportation system and the typical link of land-sea connection. Aiming at the marine transportation system, a multi-stage loading model based on multi-loading port and multi-unloading port of finished goods vehicle is established based on the typical link optimization of roll-on-roll-off ship loading. According to the characteristics of the model, a genetic algorithm is designed to solve the problem, and the validity of the algorithm is verified by a large number of numerical simulation experiments. The results of genetic algorithm are compared with those based on real scheduling rules, and the efficiency and robustness of the algorithm are further verified. The stowage information management system of ro-ro ships is developed, which improves the efficiency and accuracy of loading and unloading, and provides effective support for the safety of ro-ro ships. Aiming at the land transportation system, a mathematical model of quantity distribution, route optimization and cost allocation under the common distribution mode is established, which is based on the optimization of the typical link of the common distribution operation optimization. The improved genetic algorithm is used to solve the proposed problem. The results of numerical examples show that the total cost of distribution is greatly saved both in alliance and in each distribution center under the mode of common distribution. Aiming at the land-sea transportation system, taking the optimization of vehicle logistics route as the research object, this paper puts forward two kinds of resource sharing modes: shared vehicle and shared distribution center (VDC), and puts forward two kinds of resource sharing mode, which are shared vehicle and shared distribution center. The mathematical model of vehicle logistics path optimization with the minimum total cost as the objective function under the resource sharing mode is constructed. A genetic algorithm based on economizing odometer method and scanning method is designed to solve the proposed problem. The results show that the method of resource sharing can reduce the transportation cost by about 30%. The results show that the larger the unit transportation cost is, the greater the cost of traditional single transport is, and the more the shared transport mode should be adopted. However, if the unit cost of highway heavy haul transportation is closer to the cost of railway and waterway transportation, the advantage of sharing mode is weaker and the cost saving rate is lower.
【學(xué)位授予單位】：大連海事大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2017
【分類(lèi)號(hào)】：U116

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 齊心;;基于綜合啟發(fā)式算法的物流配送路徑優(yōu)化研究[J];物流科技;2017年01期

2 張遠(yuǎn);余依;;模擬退火算法在整車(chē)物流問(wèn)題中的應(yīng)用[J];物流科技;2016年12期

3 王選飛;吳應(yīng)良;肖炯恩;;基于合作博弈的移動(dòng)支付商業(yè)模式優(yōu)化研究[J];系統(tǒng)工程理論與實(shí)踐;2016年09期

4 雷凱;朱曉寧;侯鍵菲;;多式聯(lián)運(yùn)網(wǎng)絡(luò)風(fēng)險(xiǎn)傳播建模與仿真[J];交通運(yùn)輸系統(tǒng)工程與信息;2016年03期

5 何建佳;蔣雪琳;;基于動(dòng)態(tài)演化的高校專(zhuān)利商業(yè)化合作博弈研究[J];科技管理研究;2016年10期

6 李琳;黃海軍;汪壽陽(yáng);;基于DEA/AR博弈交叉效率方法的學(xué)術(shù)期刊評(píng)價(jià)研究[J];管理科學(xué)學(xué)報(bào);2016年04期

7 李金夫;庹先國(guó);劉勇;李懷良;;關(guān)于整車(chē)物流運(yùn)輸車(chē)輛路徑優(yōu)化設(shè)計(jì)的研究[J];計(jì)算機(jī)仿真;2016年04期

8 姚恩建;魯楠;郎志峰;錢(qián)越;;考慮節(jié)能的城市物流配送方案優(yōu)化[J];北京交通大學(xué)學(xué)報(bào);2015年06期

9 張雪婷;陳英武;王琦;周浩;葛冰峰;;整車(chē)物流的任務(wù)規(guī)劃模型和算法[J];中國(guó)管理科學(xué);2015年S1期

10 溫衛(wèi)娟;鄔躍;唐秀麗;;共同配送協(xié)同效應(yīng)評(píng)價(jià)體系構(gòu)建[J];中國(guó)流通經(jīng)濟(jì);2015年10期

相關(guān)博士學(xué)位論文 前3條

1 廖偉;考慮共同配送和能耗的車(chē)輛路徑問(wèn)題優(yōu)化研究[D];西南交通大學(xué);2014年

2 石兆;物流配送選址—運(yùn)輸路徑優(yōu)化問(wèn)題研究[D];中南大學(xué);2014年

3 戴勇;虛擬物流企業(yè)聯(lián)盟的構(gòu)建與管理[D];上海海運(yùn)學(xué)院;2002年

相關(guān)碩士學(xué)位論文 前2條

1 竇莉薇;基于改進(jìn)蟻群算法的A公司整車(chē)物流多式聯(lián)運(yùn)路徑問(wèn)題研究[D];天津師范大學(xué);2016年

2 沈政;快遞城市共同配送聯(lián)盟成本分?jǐn)偰Ｐ脱芯縖D];重慶大學(xué);2014年

，

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