A storage space scheduling method for export container terminals

Abstract

The invention discloses a scheduling method for an export container wharf pile-up space. Two-stage modeling is performed from plan allocation to dynamic allocation. At a pre-allocation stage, a block plan is researched, and the follow-up dynamic allocation is guided by the block plan. In the block plan, a block allocation model based on the ecological neutral theory is proposed. According to the block allocation model, container blocks are abstracted as islands, and container groups are abstracted as species, and thus, a process of allocating the container groups to the container blocks is escaped into a process that ecological selection is performed on the islands by a plurality of species. Based on the block allocation model, by aiming at the characteristic of the block plan problem, the block allocation model is optimized by the scheduling method for the export container wharf pile-up space, and an improved ecological neutral theory model is proposed. At a dynamic allocation stage, yard bay allocation and container space allocation are combined, solving is optimized by bi-objective combination, and a combination cellular automaton model is proposed. According to the combination cellular automaton model, the yard bay allocation is abstracted as an external cellular model, and the container space allocation is abstracted as an internal cellular 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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