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Journal of System Simulation

Abstract

Abstract: As a complete automated guided vehicle(AGV) system scheduling algorithm, it must include conflict-handling strategy, together with common dispatching strategy and routing algorithm. However, due to the uncertainty, characteristics of such scheduling algorithm are difficult to be analyzed theoretically, and the relevant study is lacking. An AGV system simulation platform based on the discreteevent simulation technique is designed and developed, which can flexibly set the scheduling problem, choose the dispatching strategy, routing algorithm, and conflict-handling strategy for the scheduling algorithm, to run the simulation. The platform has a visual interface, from which the running status of AGVs and the performance of the scheduling algorithm can be intuitively observed, and it can also output statistical data of the simulation experiment. Experiment results show that the simulation platform can accurately and effectively evaluate and compare the scheduling algorithms in uncertain environment.

First Page

385

Last Page

404

CLC

TP391.9

Recommended Citation

Shi Zhihao, Shen Haihui. Simulation Platform of AGV System Scheduling Algorithms in Uncertain Environment[J]. Journal of System Simulation, 2024, 36(2): 385-404.

Corresponding Author

Shen Haihui

DOI

10.16182/j.issn1004731x.joss.22-1214

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