Abstract

With the rapid expansion of Chinese container terminal throughput, each container terminal increasingly pays attention to the operational efficiency of storage yard. In this paper, aim at the problem of excessive containers relocation assignments to establish the slotting optimization allocation model, and verify the validity of the model by using Matlab; Using tandem queuing network modeling to build model of the container terminal operating system,and simulate the container terminal logistics system by Witness. It can provide a reference for efficiency improvement of the container terminal operating system.

Highlights

  • The large scale ship of container terminal brings all kinds of pressure to the container terminals

  • Jumin Hao[4] builded an optimization model about an inner shell of the container terminal yard, it improved the utilization of terminal yard effectively

  • Is represented as a large positive values; N represented the total number of planned container terminal yard; dn expressed as a destination of the n-th container; wn was expressed as an n-th grade container carrier; cn expressed as the n-th container property value; vk expressed as k-th Bay carrying capacity

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Summary

Model parameters

J expressed the number of stacked inside each Bay; K represented the number of Bay inside per segment; I expressed the number of stack height inside each Bay. M is represented as a large positive values; N represented the total number of planned container terminal yard; dn expressed as a destination of the n-th container; wn was expressed as an n-th grade container carrier; cn expressed as the n-th container property value; vk expressed as k-th Bay carrying capacity. Snkj noted that the i-layer box position of j of k-th Bay, which can occupied by the n-th container, With 1 said it had been allocated, with 0 expressing others:. If the n-th container is allocated to slot k, j,i Others k = 1,2,.

Establish the model
Container Terminal series line network multinode configuration analysis
Set basic parameters
The simulation process of witness
Conclusion
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