【摘要】：隨著各行各業(yè)對(duì)集裝箱運(yùn)輸這種方式的認(rèn)識(shí)不斷加深,“方便、快捷、安全、高效”的特點(diǎn)獲得更多客戶的認(rèn)可,集裝箱運(yùn)輸產(chǎn)業(yè)鏈蓬勃發(fā)展,其中專業(yè)化集裝箱碼頭數(shù)量、規(guī)模迅速擴(kuò)大。但隨著全球經(jīng)濟(jì)形勢(shì)發(fā)展持續(xù)低迷和國內(nèi)大氣候的變化,近幾年各港口受市場(chǎng)化的發(fā)展須求,也為了生存,集裝箱碼頭之間的競(jìng)爭(zhēng)日漸激烈。為了控制集裝箱運(yùn)輸?shù)臓I(yíng)運(yùn)成本,各班輪公司也不得不考慮減少集裝箱船周轉(zhuǎn)時(shí)間,控制船舶在港作業(yè)時(shí)間來降低運(yùn)作成本、提升運(yùn)作效率。為提高碼頭綜合實(shí)力、吸引更多船舶到港,集裝箱碼頭正逐步改變經(jīng)營(yíng)管理策略,從傳統(tǒng)的僅僅依靠提高碼頭固定資產(chǎn)投資、建新泊位、投新設(shè)備、加大資源配置創(chuàng)高效率等粗放外延生產(chǎn)增長(zhǎng)方式,向優(yōu)化裝卸作業(yè)流程、優(yōu)化碼頭物流系統(tǒng)內(nèi)部資源配置等精細(xì)化內(nèi)涵式生產(chǎn)增長(zhǎng)方式轉(zhuǎn)變。泊位—岸橋是整個(gè)碼頭裝卸作業(yè)系統(tǒng)的關(guān)鍵環(huán)節(jié)和瓶頸。在泊位數(shù)量、作業(yè)岸橋數(shù)、碼頭前方堆場(chǎng)規(guī)模等有限的資源條件下,對(duì)船舶進(jìn)行有效的泊位配置,能有效縮短船舶等待時(shí)間。 本文通過了解集裝箱碼頭的基本業(yè)務(wù)流程,構(gòu)建了集裝箱碼頭裝卸系統(tǒng)優(yōu)化的原則及關(guān)鍵影響因素,確定了集裝箱碼頭裝卸系統(tǒng)優(yōu)化的運(yùn)作流程,并結(jié)合新時(shí)代集裝箱碼頭的實(shí)際情況,構(gòu)建了以船舶總作業(yè)時(shí)間最短為目標(biāo)的數(shù)學(xué)模型,采用遺傳算法對(duì)其進(jìn)行求解,并最終提出保障其協(xié)調(diào)運(yùn)作的保障措施。
[Abstract]:With the deepening understanding of container transportation in various industries, the characteristics of "convenience, quickness, safety and efficiency" have been recognized by more customers, and the industrial chain of container transportation has developed vigorously, including the number of specialized container terminals. The scale is expanding rapidly. However, with the development of global economic situation and the change of domestic climate, in recent years, the development of various ports must be market-oriented, but also in order to survive, the competition between container terminals is becoming increasingly fierce. In order to control the operating cost of container transportation, the liner companies also have to consider reducing the turnaround time of container ships, controlling the working time of ships in Hong Kong to reduce the operating costs and improve the operational efficiency. In order to improve the comprehensive strength of the wharf and attract more ships to port, the container terminal is gradually changing its management strategy, from the traditional only relying on the increase of fixed assets investment, construction of new berths, new equipment, Increase resource allocation, create high efficiency and other extensive extension production growth mode, to optimize loading and unloading operation flow, optimize the internal resource allocation of logistics system of wharf, etc. Berth-shore bridge is the key link and bottleneck of the terminal loading and unloading system. Under the condition of limited resources such as the number of berths, the number of operating quayside bridges and the scale of yard in front of the wharf, the effective berth allocation of the ship can effectively shorten the waiting time of the ship. Through understanding the basic business process of container terminal, this paper constructs the principle of container terminal loading and unloading system optimization and key influencing factors, and determines the operation process of container terminal loading and unloading system optimization. Combined with the actual situation of the container terminal in the new era, a mathematical model aiming at the shortest total operation time of the ship is constructed, and the genetic algorithm is used to solve it. Finally, the guarantee measures to ensure the coordinated operation of the container terminal are put forward.
【學(xué)位授予單位】：大連海事大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2013
【分類號(hào)】：F552.6

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 陳超;王海燕;;集裝箱碼頭泊位生產(chǎn)運(yùn)作優(yōu)化模型[J];大連海事大學(xué)學(xué)報(bào);2009年04期

2 劉枚蓮;黃鍵;朱美華;;基于緩存思想的集裝箱碼頭泊位作業(yè)優(yōu)化[J];大連海事大學(xué)學(xué)報(bào);2010年04期

3 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

4 計(jì)明軍;靳志宏;;集裝箱碼頭集卡與岸橋協(xié)調(diào)調(diào)度優(yōu)化[J];復(fù)旦學(xué)報(bào)(自然科學(xué)版);2007年04期

5 蔡蕓;張艷偉;;集裝箱碼頭泊位分配的仿真優(yōu)化方法[J];中國工程機(jī)械學(xué)報(bào);2006年02期

6 曾慶成;孫麗敏;楊忠振;;集裝箱碼頭裝卸混合調(diào)度模型[J];哈爾濱工業(yè)大學(xué)學(xué)報(bào);2009年10期

7 曾慶成;高宇;;集裝箱碼頭裝卸橋調(diào)度優(yōu)化模型與算法[J];計(jì)算機(jī)工程與應(yīng)用;2006年32期

8 歐陽玲萍;王錫淮;肖健梅;;基于蟻群算法的泊位調(diào)度問題[J];控制工程;2009年S2期

9 王紅湘;嚴(yán)偉;;基于啟發(fā)式算法和仿真優(yōu)化的岸壁線長(zhǎng)度泊位分配策略[J];上海海事大學(xué)學(xué)報(bào);2008年01期

10 何軍良;宓為建;謝塵;嚴(yán)偉;;基于分布式混合遺傳算法的動(dòng)態(tài)泊位分配策略與仿真[J];上海海事大學(xué)學(xué)報(bào);2008年02期

相關(guān)會(huì)議論文 前1條

1 蔡蕓;孫國正;;同時(shí)求解泊位分配及岸橋調(diào)度問題的仿真優(yōu)化方法[A];可持續(xù)發(fā)展的中國交通——2005全國博士生學(xué)術(shù)論壇（交通運(yùn)輸工程學(xué)科）論文集（上冊(cè)）[C];2005年

相關(guān)碩士學(xué)位論文 前3條

1 趙雪靜;港口集裝箱作業(yè)計(jì)劃模型研究[D];大連海事大學(xué);2011年

2 曹志偉;優(yōu)化TPS集卡調(diào)度系統(tǒng)提高集裝箱碼頭裝卸效率[D];上海海運(yùn)學(xué)院;2003年

3 關(guān)秀光;基于BPR思想的集裝箱碼頭集卡作業(yè)系統(tǒng)模擬及優(yōu)化分析[D];上海海事大學(xué);2004年

，

本文編號(hào)：2284014