【摘要】：集裝箱運(yùn)輸?shù)目焖侔l(fā)展對(duì)集裝箱碼頭的作業(yè)效率要求越來(lái)越高。在集裝箱碼頭中與作業(yè)效率相關(guān)的泊位一直是稀缺資源,岸橋則是進(jìn)行裝卸的主要設(shè)備。泊位與岸橋資源的合理利用,能夠有效的縮短船舶在港時(shí)間,提高碼頭的服務(wù)質(zhì)量,實(shí)現(xiàn)港口效益的最大化。本文在歸納和評(píng)述大量相關(guān)文獻(xiàn)的基礎(chǔ)上,針對(duì)當(dāng)前泊位、岸橋調(diào)度問(wèn)題的研究現(xiàn)狀,發(fā)現(xiàn)目前該問(wèn)題研究仍不夠理想。泊位與岸橋聯(lián)合調(diào)度研究需要進(jìn)一步改善,基于泊位、岸橋的主輔碼頭靠泊決策協(xié)同優(yōu)化問(wèn)題更是缺乏研究。本文針對(duì)上述幾方面的問(wèn)題,做出如下研究工作： (1)考慮集裝箱碼頭現(xiàn)實(shí)約束,根據(jù)泊位資源動(dòng)態(tài)配置的具體特征,利用排隊(duì)論的相關(guān)知識(shí)建立泊位資源動(dòng)態(tài)配置模型,通過(guò)模擬迭代算法實(shí)現(xiàn)求解過(guò)程,實(shí)現(xiàn)泊位資源的動(dòng)態(tài)配置。算例的實(shí)驗(yàn)結(jié)果證明該模型適合碼頭作業(yè),具有良好的適應(yīng)性。 (2)基于泊位資源動(dòng)態(tài)配置的泊位計(jì)劃,實(shí)現(xiàn)泊位與岸橋聯(lián)合調(diào)度優(yōu)化,構(gòu)建聯(lián)合調(diào)度模型,并通過(guò)遺傳算法進(jìn)行求解。在算例分析中,將聯(lián)合調(diào)度優(yōu)化的結(jié)果與單獨(dú)優(yōu)化的結(jié)果進(jìn)行對(duì)比,無(wú)論是作業(yè)效率還是空閑率,聯(lián)合優(yōu)化的結(jié)果具有高效性,模型和算法具有高效性。 (3)基于泊位資源動(dòng)態(tài)配置、泊位與岸橋的聯(lián)合調(diào)度優(yōu)化,構(gòu)建主輔碼頭靠泊決策協(xié)同優(yōu)化模型,在算法設(shè)計(jì)上,對(duì)遺傳算法進(jìn)行改進(jìn)。通過(guò)編程和仿真實(shí)驗(yàn),得出主輔碼頭靠泊決策以及轉(zhuǎn)運(yùn)計(jì)劃,并通過(guò)對(duì)三種不同情形下的求解結(jié)果對(duì)比,算法能在較短的時(shí)間內(nèi)收斂,證明了算法的有效性。
[Abstract]:With the rapid development of container transportation, the operational efficiency of container terminal is becoming more and more high. Berths related to operational efficiency in container terminals are always scarce resources, and quayside bridges are the main equipment for loading and unloading. The reasonable utilization of berth and shore bridge resources can effectively shorten the ship's time in port, improve the service quality of wharf, and realize the maximization of port benefit. On the basis of summarizing and reviewing a large number of related literatures, this paper finds that the current research on berth and quayside bridge scheduling problem is still not satisfactory. The research on joint dispatch of berth and quayside bridge needs further improvement. Based on berth, the cooperative optimization of berthing decision for main and auxiliary wharves is even less studied. In view of the above problems, this paper makes the following research work: (1) considering the practical constraints of container terminal, according to the specific characteristics of the dynamic allocation of berth resources, The dynamic allocation model of berth resources is established by using the relevant knowledge of queuing theory, and the dynamic allocation of berth resources is realized by simulating iterative algorithm. The experimental results show that the model is suitable for wharf operation and has good adaptability. (2) based on the berth plan of dynamic allocation of berth resources, the joint scheduling optimization of berth and quayside bridge is realized, and the joint scheduling model is constructed and solved by genetic algorithm. In the case study, the results of joint scheduling optimization are compared with those of single optimization. The results of joint optimization are efficient, and the model and algorithm are efficient, regardless of job efficiency or idle rate. (3) based on the dynamic allocation of berth resources and the joint scheduling optimization of berth and shore bridge, the cooperative optimization model of berthing decision for main and auxiliary wharves is constructed, and the genetic algorithm is improved in algorithm design. Through programming and simulation experiments, the berthing decision and transportation plan of the main and auxiliary wharf are obtained. By comparing the results of three different cases, the algorithm can converge in a short time, which proves the validity of the algorithm.
【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】：2014
【分類(lèi)號(hào)】：U656.135;U691

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 韓駿;孫曉娜;靳志宏;;集裝箱碼頭泊位與岸橋協(xié)調(diào)調(diào)度優(yōu)化[J];大連海事大學(xué)學(xué)報(bào);2008年02期

2 靳志宏;胡潔;楊永志;;集裝箱支線運(yùn)輸航次調(diào)度優(yōu)化[J];大連海事大學(xué)學(xué)報(bào);2009年03期

3 靳志宏;蘭輝;邊展;計(jì)明軍;;基于現(xiàn)實(shí)約束的集裝箱裝船順序優(yōu)化[J];大連海事大學(xué)學(xué)報(bào);2011年01期

4 王健;楊春霞;楊贊;;基于Memetic算法的集裝箱碼頭泊位應(yīng)急調(diào)度策略[J];大連海事大學(xué)學(xué)報(bào);2011年02期

5 韓曉龍;;集裝箱港口裝卸作業(yè)系統(tǒng)研究綜述[J];港口經(jīng)濟(jì);2010年02期

6 孫茂船;岸橋、場(chǎng)橋設(shè)備管理軟件開(kāi)發(fā)[J];港口科技動(dòng)態(tài);1997年02期

7 田洪;;針對(duì)船舶大型化開(kāi)發(fā)的3種新型岸橋[J];港口裝卸;2005年05期

8 包起帆;金茂海;;雙40英尺集裝箱橋吊的實(shí)踐與探索[J];中國(guó)港口;2008年01期

9 楊春霞;王諾;;基于SPEA2算法的泊位調(diào)度多目標(biāo)優(yōu)化[J];工業(yè)工程與管理;2010年03期

10 尚晶;;面向雙40英尺岸橋的碼頭集卡調(diào)度模型與算法[J];華中科技大學(xué)學(xué)報(bào)(自然科學(xué)版);2010年11期

相關(guān)博士學(xué)位論文 前2條

1 李娜;集裝箱碼頭連續(xù)泊位與岸橋調(diào)度聯(lián)合優(yōu)化研究[D];大連海事大學(xué);2011年

2 李強(qiáng);集裝箱碼頭泊位調(diào)度均衡優(yōu)化方法研究[D];大連理工大學(xué);2009年

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