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

Maoyun Zhang, Yuheng Jiang, Chuan Wan (), Chen Tang, Boyan Chen and Huizhuang Xi
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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

Energies, 2023, vol. 16, issue 17, 1-13

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.

Keywords: AGV cluster; Internet of Things; scheduling; algorithm (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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