Open Access
| Issue |
Manufacturing Rev.
Volume 13, 2026
|
|
|---|---|---|
| Article Number | 11 | |
| Number of page(s) | 10 | |
| DOI | https://doi.org/10.1051/mfreview/2026005 | |
| Published online | 05 June 2026 | |
- V.W.C. Fung, K.C. Yung, An intelligent approach for improving printed circuit board assembly process performance in smart manufacturing, Int. J. Eng. Bus. Manag. 12 (2020) 1847979020946189 [Google Scholar]
- X. Zheng et al., A path planning algorithm for PCB surface quality automatic inspection, J. Intell. Manuf. 33.6 (2022) 1829–1841 [Google Scholar]
- S. Dhouib, Finding the shortest holes drilling path in printed circuit board via the Dhouib-Matrix-4 technique, in: Mechatronics and Automation Technology, IOS Press, (2022), pp. 396–401 [Google Scholar]
- S. Dhouib, Hole drilling route optimization in printed circuit boards using far-to-near metaheuristics: optimizing the hole drilling route via far-to-near metaheuristic, IJoSE 5.1 (2022) 1–12 [Google Scholar]
- W. Yuzhen, PCB drill path optimization by improved genetic algorithm, in: 2019 5th International Conference on Control, Automation and Robotics (ICCAR), IEEE, 2019 [Google Scholar]
- T. Ngô, Application of multi-objective genetic optimization in PCB component placement, Massachusetts Institute of Technology, 2024 [Google Scholar]
- X. Luo et al., SA-SOM: simulated annealing-self-organizing map for drill path planning of printed circuit boards, in: Fifth International Conference on Mechanical Engineering and Materials (ICMEM 2024), SPIE, Vol. 13547, 2025 [Google Scholar]
- K. Tanriver, M. Ay, Efficient path planning for drilling processes: the hybrid approach of a genetic algorithm and ant colony optimization, Trans. FAMENA 48.3 (2024) 125–140 [Google Scholar]
- Q. Zhou et al., Scheduling optimization of printed circuit board micro-hole drilling production line based on complex events, Processes 11.11 (2023) 3073 [Google Scholar]
- M. Zhang, B. Yang, Swarm robots cooperative and persistent distribution modeling and optimization based on the smart community logistics service framework, Algorithms 15.2 (2022) 39 [Google Scholar]
- A. Bouras, Y. Bouzid, M. Guiatn, Areas division and multiple UAV coverage path planning for gas distribution map, in: 2022 19th International Multi-Conference on Systems, Signals & Devices (SSD), IEEE, 2022 [Google Scholar]
- M. Plessen, Path planning for spot spraying with UAVs combining TSP and area coverages, Smart Agric. Technol. 11 (2025) 100965 [Google Scholar]
- Y. Haitao et al., Optimization on processing path of polyhedron CNC drilling machine based on partition adaptive ant colony algorithm, in: Modular Machine Tool & Automatic Manufacturing Technique, no. 03, (2021), pp. 136–141 [Google Scholar]
- M. Xudong et al., Optimization of machining path of plastic mold hole group based on ant colony algorithm, Technol. Manuf. 10 (2020) 97–101 [Google Scholar]
- P. Zhiguang et al., PCB drill path optimization software design and implementation, Southeast University, MA thesis, 2023 [Google Scholar]
- R. Ghezelbash et al., Density based spatial clustering of applications with noise and fuzzy C-means algorithms for unsupervised mineral prospectivity mapping, Earth Sci. Inform. 18.2 (2025) 217 [Google Scholar]
- W. Yang, C. Huang, P. Ji, Ant colony algorithm optimized by local search and adaptive strategy for drilling sequence path planning, J. Mech. Sci. Technol. 40 (2026) 1291–1301 [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.