Abstract
The bulk terminals such as coal and iron ore play an important role in ensuring the effective energy supply and resource import in our country. It is necessary and instructive to study the optimization of the dispatching of bulk terminals. Berths are the most important docking facilities for bulk terminals. Ship unloaders are the most important loading and unloading equipment for bulk terminals. The joint scheduling of berths and ship unloaders can shorten the working time and waiting time of ships. This paper builds a model based on mixed integer optimization to calculate the total ship time in port. Using genetic algorithm to solve the example, the result proves that the model is practical and the algorithm is effective.
Highlights
Introduction and MotivationCoal resources are the most important part of China’s energy supply
The bulk terminals such as coal and iron ore play an important role in ensuring the effective energy supply and resource import in our country
Looking at the research results of berth dispatching, ship unloader distribution, ship unloader scheduling and integration optimization of domestic and foreign scholars in recent years, the dispatch of forward-looking service facilities for containers and bulk terminals can be solved to a large extent
Summary
Coal resources are the most important part of China’s energy supply. Coal terminals play an important role in the port cargo transportation in some areas in China. Shipping is the main mode of transportation for iron ore. Hu number of unloaders and the efficiency of ship unloaders, the rational allocation of berths and ship unloaders directly affect the operational efficiency of the entire terminal. Berths and ship unloaders are considered as scarce resources for bulk terminals. Aiming at reducing the total port time in ships, a feasible way to rationally allocate terminal resources is explored. Explore the way to allocate the wharf resources rationally, establish the operational research optimization model, design the algorithm, and evaluate the validity of the algorithm through concrete examples. The limitation is that only the impact of the two resource scarcity factors of the ship unloader and the berth is considered, and other factors that may affect the scheduling are ignored, and the actual problems are slightly different.
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