Single Mobile Robot Scheduling in Manufacturing Environment
Апстракт
A methodology for intelligent material transport that takes into account the problem of planning and scheduling the transport tasks of a mobile robot is presented in the paper. The performance criterion was adopted to minimize the total transport time of the mobile robot while transporting raw materials, semi-finished products and parts within the manufacturing system. The particle swarm optimization algorithm (PSO) was developed in order to find an optimal solution to the internal transport scheduling problem. Scheduling plans were obtained in the MATLAB programming environment and were tested using the Khepera II mobile robot within the static laboratory model of the manufacturing environment. The experimental results show the applicability and efficiency of the developed intelligent approach in real conditions.
Кључне речи:
Intelligent material transport / Process planning and scheduling / Mobile robot / Manufacturing environment / Particle Swarm Optimization Algorithm (PSO) / Internal transport scheduling problem / MatLab software / Khepera II mobile robotИзвор:
Proceedings of the 6th International Conference on Manufacturing Engineering (ICMEN 2017), 2017, 87-97Издавач:
- The Aristotle University of Thessaloniki
Финансирање / пројекти:
- Иновативни приступ у примени интелигентних технолошких система за производњу делова од лима заснован на еколошким принципима (RS-MESTD-Technological Development (TD or TR)-35004)
Колекције
Институција/група
Mašinski fakultetTY - CONF AU - Petrović, Milica AU - Miljković, Zoran PY - 2017 UR - https://machinery.mas.bg.ac.rs/handle/123456789/4624 AB - A methodology for intelligent material transport that takes into account the problem of planning and scheduling the transport tasks of a mobile robot is presented in the paper. The performance criterion was adopted to minimize the total transport time of the mobile robot while transporting raw materials, semi-finished products and parts within the manufacturing system. The particle swarm optimization algorithm (PSO) was developed in order to find an optimal solution to the internal transport scheduling problem. Scheduling plans were obtained in the MATLAB programming environment and were tested using the Khepera II mobile robot within the static laboratory model of the manufacturing environment. The experimental results show the applicability and efficiency of the developed intelligent approach in real conditions. PB - The Aristotle University of Thessaloniki C3 - Proceedings of the 6th International Conference on Manufacturing Engineering (ICMEN 2017) T1 - Single Mobile Robot Scheduling in Manufacturing Environment EP - 97 SP - 87 UR - https://hdl.handle.net/21.15107/rcub_machinery_4624 ER -
@conference{ author = "Petrović, Milica and Miljković, Zoran", year = "2017", abstract = "A methodology for intelligent material transport that takes into account the problem of planning and scheduling the transport tasks of a mobile robot is presented in the paper. The performance criterion was adopted to minimize the total transport time of the mobile robot while transporting raw materials, semi-finished products and parts within the manufacturing system. The particle swarm optimization algorithm (PSO) was developed in order to find an optimal solution to the internal transport scheduling problem. Scheduling plans were obtained in the MATLAB programming environment and were tested using the Khepera II mobile robot within the static laboratory model of the manufacturing environment. The experimental results show the applicability and efficiency of the developed intelligent approach in real conditions.", publisher = "The Aristotle University of Thessaloniki", journal = "Proceedings of the 6th International Conference on Manufacturing Engineering (ICMEN 2017)", title = "Single Mobile Robot Scheduling in Manufacturing Environment", pages = "97-87", url = "https://hdl.handle.net/21.15107/rcub_machinery_4624" }
Petrović, M.,& Miljković, Z.. (2017). Single Mobile Robot Scheduling in Manufacturing Environment. in Proceedings of the 6th International Conference on Manufacturing Engineering (ICMEN 2017) The Aristotle University of Thessaloniki., 87-97. https://hdl.handle.net/21.15107/rcub_machinery_4624
Petrović M, Miljković Z. Single Mobile Robot Scheduling in Manufacturing Environment. in Proceedings of the 6th International Conference on Manufacturing Engineering (ICMEN 2017). 2017;:87-97. https://hdl.handle.net/21.15107/rcub_machinery_4624 .
Petrović, Milica, Miljković, Zoran, "Single Mobile Robot Scheduling in Manufacturing Environment" in Proceedings of the 6th International Conference on Manufacturing Engineering (ICMEN 2017) (2017):87-97, https://hdl.handle.net/21.15107/rcub_machinery_4624 .