航速優(yōu)化下的支線船舶調(diào)度問題研究
發(fā)布時間:2019-05-10 18:25
【摘要】:隨著世界各地航運中心的崛起,集裝箱船不斷朝大型化方向發(fā)展,但大型集裝箱船只能掛靠深水干線樞紐港,而支線運輸作為樞紐港和喂給港的橋梁,起到了中轉(zhuǎn)、集疏運干線船貨物的作用,由此形成了軸-輻式海上運輸模式。可見,集裝箱支線運輸是國際集裝箱運輸發(fā)展的必然結(jié)果。船舶調(diào)度是集裝箱支線運輸資源優(yōu)化配置的一個重要方面,在其涉及的各項決策中,航速優(yōu)化是關(guān)鍵環(huán)節(jié),直接決定了航運公司的可變成本和船舶利用率。某些支線航道環(huán)境復(fù)雜、貨源不穩(wěn)定,航運企業(yè)在制定船舶調(diào)度時困難重重,因此開展航速優(yōu)化下的船舶調(diào)度,合理設(shè)計集裝箱船支線運輸航線可以為航運企業(yè)節(jié)省成本,同時還能節(jié)能減排,保護環(huán)境。本文通過對航速優(yōu)化、船舶調(diào)度和集裝箱支線運輸?shù)难芯砍晒M行系統(tǒng)的歸納和分析,發(fā)現(xiàn)目前針對集裝箱支線船舶的多喂給港的船舶調(diào)度缺乏對航速優(yōu)化的考慮,對既有集裝箱疏運,又有集裝箱集散的多船型、多航線的船舶調(diào)度的航速優(yōu)化問題沒有深入研究。本文主要針對一個支線運輸系統(tǒng)里不同船型、不同航速、確定的集裝箱裝卸量和時間限制等約束條件,建立以航運總成本最低為目標的混合整數(shù)非線性規(guī)劃模型;并設(shè)計了適合于求解此模型的解的編碼和解碼,改進了傳統(tǒng)的遺傳算法,對模型進行求解;以珠江三角洲某航運企業(yè)的支線運輸為例驗證模型的可行性;最后對船舶容量、船舶航速、限制時間、集裝箱的裝卸箱量進行靈敏度分析。結(jié)果表明,運用本文的模型可以幫助航運企業(yè)很好的設(shè)計航線,并配置合適的船型及航速,在船舶調(diào)度中要綜合集裝箱裝卸箱量、限制時間、航速等各個因素共同決策,為航運企業(yè)提供輔助決策支持。
[Abstract]:With the rise of shipping centers all over the world, container ships continue to develop in a large-scale direction, but large container ships can only connect to the hub port of the deep-water trunk line, and regional transportation, as a bridge between hub port and feed port, has played a transit role. The function of collecting and distributing the cargo of trunk line ship forms the shaft-spoke sea transportation mode. It can be seen that container feeder transportation is the inevitable result of the development of international container transportation. Ship scheduling is an important aspect of optimal allocation of container branch transportation resources. in the decisions involved, speed optimization is the key link, which directly determines the variable cost and ship utilization ratio of shipping companies. The environment of some branch waterways is complex and the supply of goods is unstable, and shipping enterprises have many difficulties in making ship dispatching. Therefore, the reasonable design of container ship regional transportation routes can save costs for shipping enterprises by carrying out ship scheduling under speed optimization. At the same time, it can also save energy and reduce emissions and protect the environment. In this paper, through the systematic induction and analysis of the research results of speed optimization, ship scheduling and container branch transportation, it is found that there is a lack of consideration of speed optimization for the multi-feed port ship scheduling of container branch ships at present. There is no in-depth study on the speed optimization of multi-ship type and multi-route ship scheduling with both container dredging and container distribution. In this paper, a mixed integer nonlinear programming model is established, which aims at the lowest total cost of shipping, according to the constraints of different ship types, different speeds, container loading and unloading capacity and time limit in a regional transportation system. The coding and decoding suitable for solving the solution of the model are designed, the traditional genetic algorithm is improved to solve the model, and the feasibility of the model is verified by taking the regional transportation of a shipping enterprise in the Pearl River Delta as an example. Finally, the sensitivity analysis of ship capacity, ship speed, limit time and container loading and unloading capacity is carried out. The results show that the model in this paper can help shipping enterprises to design the route well, and configure the appropriate ship type and speed. In the ship scheduling, it is necessary to combine the container loading and unloading container quantity, limit time, speed and other factors to make a joint decision. Provide auxiliary decision support for shipping enterprises.
【學(xué)位授予單位】:大連海事大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2015
【分類號】:U692.3
本文編號:2473897
[Abstract]:With the rise of shipping centers all over the world, container ships continue to develop in a large-scale direction, but large container ships can only connect to the hub port of the deep-water trunk line, and regional transportation, as a bridge between hub port and feed port, has played a transit role. The function of collecting and distributing the cargo of trunk line ship forms the shaft-spoke sea transportation mode. It can be seen that container feeder transportation is the inevitable result of the development of international container transportation. Ship scheduling is an important aspect of optimal allocation of container branch transportation resources. in the decisions involved, speed optimization is the key link, which directly determines the variable cost and ship utilization ratio of shipping companies. The environment of some branch waterways is complex and the supply of goods is unstable, and shipping enterprises have many difficulties in making ship dispatching. Therefore, the reasonable design of container ship regional transportation routes can save costs for shipping enterprises by carrying out ship scheduling under speed optimization. At the same time, it can also save energy and reduce emissions and protect the environment. In this paper, through the systematic induction and analysis of the research results of speed optimization, ship scheduling and container branch transportation, it is found that there is a lack of consideration of speed optimization for the multi-feed port ship scheduling of container branch ships at present. There is no in-depth study on the speed optimization of multi-ship type and multi-route ship scheduling with both container dredging and container distribution. In this paper, a mixed integer nonlinear programming model is established, which aims at the lowest total cost of shipping, according to the constraints of different ship types, different speeds, container loading and unloading capacity and time limit in a regional transportation system. The coding and decoding suitable for solving the solution of the model are designed, the traditional genetic algorithm is improved to solve the model, and the feasibility of the model is verified by taking the regional transportation of a shipping enterprise in the Pearl River Delta as an example. Finally, the sensitivity analysis of ship capacity, ship speed, limit time and container loading and unloading capacity is carried out. The results show that the model in this paper can help shipping enterprises to design the route well, and configure the appropriate ship type and speed. In the ship scheduling, it is necessary to combine the container loading and unloading container quantity, limit time, speed and other factors to make a joint decision. Provide auxiliary decision support for shipping enterprises.
【學(xué)位授予單位】:大連海事大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2015
【分類號】:U692.3
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