Distribution method of container quay berths and shore bridges

A distribution method and container technology, applied in the direction of instruments, data processing applications, forecasting, etc., can solve problems such as insufficient throughput, energy consumption minimization and optimization, and expansion of floor space

Inactive Publication Date: 2010-07-28
SHANGHAI MARITIME UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] (1) The capacity of the wharf is insufficient; as land resources are becoming more and more expensive, it is impossible for the wharf to expand its land area without limit. ability becomes less and less
[0007] (2) The level of wharf management is low; most of the yard management of container wharves in my country is still experience management, but with the increase of wharf throughput and the number of ships arriving at the port, as well as the trend of large-scale ships arriving at the port, previous experience Many management methods are no longer applicable
[0008] (3) The loading and unloading cost of the terminal is relatively high; since the container terminals in my country are still managed manually, the position of the container in the yard is not optimal, and the equipment scheduling may be unreasonable, which leads to a long distance for the equipment to move during the container loading and unloading operation. Long, the turnover rate is high, which leads to high loading and unloading costs at the terminal
[0009] (4) The level of computer automatic decision-making is low; in my country's container terminals, the functions that require decision-making, such as yard planning, crossing location selection, ship stowage, and operation line scheduling, are basically done manually, and computers only play an auxiliary role in it. The role of management, which can be adapted when the throughput is low and the number of ships coming to the port is low, but with the increase in throughput and ships coming to the port, and the trend of large-scale ships in the port, manual methods can be used It may lead to problems such as long decision-making time and poor decision-making results, resulting in long time for ships in port and low quality of terminal services.
[0014] 1. A lot of research is from the perspective of efficiency, and the minimization of energy consumption is not the goal of optimization;
[0015] 2. Due to the NP nature of the berth and quay crane allocation problem, there is still a lack of effective solution methods in these studies

Method used

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  • Distribution method of container quay berths and shore bridges
  • Distribution method of container quay berths and shore bridges
  • Distribution method of container quay berths and shore bridges

Examples

Experimental program
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Embodiment

[0238] The container terminal in this embodiment has 11 quay cranes, 33 yard bridges, 66 internal collection trucks and 56 container areas. The average loading and unloading efficiency of the quay crane is 88 seconds / move. The terminal has 4 berths, and its quay wall is 1100 meters long. In the case, the data of a certain 3 consecutive days of the wharf are used, as shown in Table 1. In this table, the arrival time is in the format "dd:hh:mm:ss". The cost of ship fines due to late departure is 800$ / hour. The unit energy consumption of the quay crane is 149.7Kwh / hour.

[0239] Table 1: Data of ships arriving at the port for 3 consecutive days

[0240]

[0241] Through multiple digital tests, the relevant parameters of HPGA are defined as follows

[0242] 1. The weights of the objective function are set to ω 1 = 0.4, ω 2 = 0.4 and ω 3 = 0.2.

[0243] 2. The population and subpopulation sizes are 100 and 50, respectively.

[0244] 3. The crossover probability is 0.7....

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Abstract

The invention provides a distribution method of container quay berths and shore bridges. By adopting a rolling type plan distribution method, berth and shore bridge distribution models based on multi-objective planning are constructed; the models are based on a continuous quay wall line and are more closer to the actual berth conditions of a quay; a hybrid algorithm on the basis of combining a heuristic algorithm and a parallel genetic algorithm is adopted, and the performance of the hybrid algorithm is evaluated by a distribution simulation system of the container quay berths and the shore bridges; when a berth and shore bridge distribution scheme is generated, the simulation system simulates the distribution scheme, acquires corresponding performance indexes, compares with other schemes, and determines whether the scheme is better; and a method combining simulation and a gene repair technology is adopted to repair infeasible schemes, thereby being favorable for reducing the time in port of a ship, and reducing the horizontal transport distance when the ship is loaded or unloaded, the energy consumption of the shore bridges, and the fine that the quay pays to a ship owner, and further reducing the loading and unloading cost on the quay, improving the service quality of the quay and realizing the purpose of the invention.

Description

technical field [0001] The invention relates to a method for allocating container berths and quay cranes, in particular to a method for realizing the allocation of container berths and quay cranes by establishing a container terminal berth and quay crane allocation model and an optimization algorithm. Background technique [0002] With the acceleration of the process of economic globalization, more and more production and operation activities and resource allocation processes are carried out throughout the world, and the role and status of modern ports in social and economic development have also undergone profound changes. Ports have become It is an important basis for whether a country's economy can effectively participate in economic globalization and maintain its leading position in international competition. [0003] As an important node in the logistics system, the port is the hub of ocean, inland ships and inland transportation (trucks and trains). The port area gath...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/00G06Q50/00G06Q10/04G06Q50/30
Inventor 严伟苌道方何军良宓为建陆后军边志成
Owner SHANGHAI MARITIME UNIVERSITY
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