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Design of an Intelligent Shop Scheduling System Based on Internet of Things

Author

Listed:
  • Maoyun Zhang

    (Faculty of Mechatronic Engineering, Changchun University of Science and Technology, Changchun 130022, China)

  • Yuheng Jiang

    (Faculty of Mechatronic Engineering, Changchun University of Science and Technology, Changchun 130022, China)

  • Chuan Wan

    (School of Information and Science and Technology, Northeast Normal University, Changchun 130024, China)

  • Chen Tang

    (Faculty of Mechatronic Engineering, Changchun University of Science and Technology, Changchun 130022, China)

  • Boyan Chen

    (Faculty of Mechatronic Engineering, Changchun University of Science and Technology, Changchun 130022, China)

  • Huizhuang Xi

    (Faculty of Mechatronic Engineering, Changchun University of Science and Technology, Changchun 130022, China)

Abstract

In order to optimize the functionality of automated guidance vehicles (AGVs) in logistics workshops, a wireless charging and task-based logistics intelligent dispatch system was developed based on the Internet of Things. This system aimed to improve freight efficiency in the workshop’s logistics system. The scheduling system successfully addressed the round-trip scheduling issue between AGVs and multiple tasks through two degrees of improvement: the application of AGVs and task path planning. To handle conflict coordination and AGV cluster path planning, a shortest path planning algorithm based on the A* search algorithm was proposed, and the traffic control law was enhanced. The initial population of genetic algorithms, which used greedy algorithms to solve problems, was found to be too large in terms of task distribution. To address this, the introduction of a few random individuals ensured population diversity and helped avoid local optima. Numerical experiments demonstrated a significantly accelerated convergence rate towards the optimal solution.

Suggested Citation

  • Maoyun Zhang & Yuheng Jiang & Chuan Wan & Chen Tang & Boyan Chen & Huizhuang Xi, 2023. "Design of an Intelligent Shop Scheduling System Based on Internet of Things," Energies, MDPI, vol. 16(17), pages 1-13, August.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:17:p:6310-:d:1229150
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    References listed on IDEAS

    as
    1. Jianxun Li & Wenjie Cheng & Kin Keung Lai & Bhagwat Ram, 2022. "Multi-AGV Flexible Manufacturing Cell Scheduling Considering Charging," Mathematics, MDPI, vol. 10(19), pages 1-15, September.
    2. Yuntao Zhao & Weigang Li & Xiao Wang & Chengxin Yi, 2019. "Path Planning of Slab Library Crane Based on Improved Ant Colony Algorithm," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-16, August.
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