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This research presents an intelligent AGV scheduling system that optimizes production in manufacturing workshops, enhancing efficiency. It uses real-time monitoring, task allocation, and genetic algorithms to address AGV path planning and task assignment. Results show the model reduces AGV numbers while increasing utilization, optimizing production. This system offers advanced solutions for enterprises aiming for automation and intelligence, helping them gain a competitive edge.

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Optimization of AGV Scheduling System Using Genetic Algorithm

  • 会议论文

  • 发表日期：

    2025年

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  • Haitao Zhang,
  • Tianyi Zheng,
  • Haoyu Sun,
  • Qi Hong

摘要

This research presents an intelligent AGV scheduling system that optimizes production in manufacturing workshops, enhancing efficiency. It uses real-time monitoring, task allocation, and genetic algorithms to address AGV path planning and task assignment. Results show the model reduces AGV numbers while increasing utilization, optimizing production. This system offers advanced solutions for enterprises aiming for automation and intelligence, helping them gain a competitive edge.