Paper
23 August 2023 A hybrid heuristic scheduling method for FMSs based on timed Petri nets
ChuanYang Ren, XiaoYu Lu, NanXiang Li, JianYong Lv, Bo Huang
Author Affiliations +
Proceedings Volume 12784, Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023); 1278423 (2023) https://doi.org/10.1117/12.2691876
Event: 2023 2nd International Conference on Applied Statistics, Computational Mathematics and Software Engineering (ASCMSE 2023), 2023, Kaifeng, China
Abstract
In this paper, a new hybrid artificial intelligent 𝐴∗ search method for scheduling flexible manufacturing systems (FMSs) based on timed Petri nets (PNs) is proposed. First, it uses place-timed Petri nets to model FMSs. Then, a hybrid heuristic search that combines the PN-based 𝐴∗ search with a Cut strategy which considers both the markings and the token remaining time is proposed within the PN’s reachability graph to search for an optimal or near-optimal schedule. It can detect and prune some possible redundant states of the graph to speed up the search process while the result’s quality remains optimal or near-optimal. Finally, some benchmarks are tested to illustrate the effectiveness of the method.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
ChuanYang Ren, XiaoYu Lu, NanXiang Li, JianYong Lv, and Bo Huang "A hybrid heuristic scheduling method for FMSs based on timed Petri nets", Proc. SPIE 12784, Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023), 1278423 (23 August 2023); https://doi.org/10.1117/12.2691876
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KEYWORDS
Fermium

Frequency modulation

Roentgenium

Robots

Artificial intelligence

Computing systems

Flexible manufacturing

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