A storage space scheduling method for export container terminals

Abstract

An export container terminal storage space scheduling method and two-stage modeling from planned allocation to dynamic allocation. Study the location plan in the pre-allocation stage, and use the location plan to guide subsequent dynamic allocation. The location plan proposes a location allocation model based on ecological neutrality theory. The model abstracts box areas as islands and box groups as species. The process of allocating box groups to box areas is transformed into ecological selection of islands by several species; Based on this model, the present invention optimizes the model according to the characteristics of the location planning problem and proposes an improved ecologically neutral theoretical model. In the dynamic allocation stage, double position allocation and container entry position selection are combined, dual-objective combination optimization is solved, and a combined cellular automaton model is proposed; the model abstracts the double position allocation as an outer cellular model, and the approach position selection is abstracted as Intracellular model.

Description

technical field [0001] The invention relates to the technical field of logistics ports, in particular to a storage space scheduling method for export container terminals. Background technique [0002] The container terminal yard is a place for loading and unloading import and export containers in the port business. It has the characteristics of large throughput, high transportation scheduling cost, and poor flexibility. With the increase of port container throughput, yard resource scheduling is facing a severe test. Improper use of internal resources such as yards, yard bridges, and trucks will result in low utilization of yard storage space and excessive movement of yard bridges. Too much, causing congestion in the yard when trucks are transported. Efficient and reasonable scheduling of yard resources has a great impact on the reasonable arrangement of ship loading and unloading plans, reducing the time of ships in port, and reducing the cost of equipment use. Efficient s...

AI Technical Summary

Problems solved by technology

At the same time, the heap space allocation problem is a large-scale solution space problem, which is difficult to solve with traditional mathematical models

However, since the heuristic information depends on empirical information, and it cannot guarantee the convergence speed, there are certain limitations.

[0007] With the improvement of the reliability of yard loading and unloading transportation equipment and hardware, yard scheduling in an uncertain environment has become a bottleneck problem that restricts the improvement of container transportation efficiency.

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