Optimising the non-productive time of robotic arm for drilling circular holes network patterns via the Dhouib-Matrix-3 metaheuristic

被引：2
作者：
Dhouib S. [1 ]
Zouari A. [1 ]
机构：
[1] Higher Institute of Industrial Management, University of Sfax, Sfax
来源：
International Journal of Mechatronics and Manufacturing Systems | 2023年 / 16卷 / 2-3期
关键词：
artificial intelligence; Dhouib-Matrix; drilling holes; metaheuristic; optimisation; path planning for robot arm; simulation; travelling salesman problem;
D O I：
10.1504/IJMMS.2023.133381
中图分类号：
学科分类号：
摘要：
The research work in this paper revolves around the non-productive time optimisation (time spent by the drilling tool while travelling between holes) of robotic arm for holes drilling operation based on the novel metaheuristic Dhouib-Matrix-3. In fact, Dhouib-Matrix-3 hybridises in an iterated structure two techniques: the stochastic heuristic entitled Dhouib-Matrix-TSP2 and the local search method named Far-to-Near. The main aim of this study is to prove the performance of Dhouib-Matrix-3 to enhance drilling robot arm non-productive time reduction and then improve productivity. Hence, a literature review was conducted to highlight on the one hand the main algorithms applied in tool path optimisation in drilling process and applicable domains in the other hand. Then, Dhouib-Matrix-3 has been applied on several circular holes network patterns case studies. Afterwards, results of instance simulations in case studies showed that the Dhouib-Matrix-3 exhibits a significant reduction in robot arm path compared to other metaheuristics in the literature: genetic algorithm, basic ant colony optimisation and modified ant colony optimisation. Copyright © 2023 Inderscience Enterprises Ltd.
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页码：320 / 338
页数：18
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