Department of Industrial Engineering, School of Engineering, Damghan University, Damghan, Iran
Abstract
In automated guided vehicle (AGV) systems, the begin-end combinations are usually connected using a fixed layout, which is not the optimal path. The capability of these configurations is limited and often the conflict of multiple AGVs. By appearing more flexible layouts and advanced technology, the positioning and dispatching of AGVs increased. In this paper, a simulation model being applicable for strategic level is designed that compares systems with and without conflict free design. Specifically, the avoidance of conflicts are substantial. Optimization process for different layouts and configuration of AGVs are worked out using statistical methods for design parameters. The outputs imply the effectiveness of the proposed approach for industrial cases. After simulation experiments for design evaluation, an optimization is fulfilled for effective implementation. This way the optimal values of critical factors and design parameters are obtained to be used in scenario evaluation for multiple AGV system.
Fazlollahtabar, H. (2023). Conflict Free Path Planning for Multiple Autonomous Guided Vehicle. International Journal of Robotics, Theory and Applications, 9(1), 52-61.
MLA
Hamed Fazlollahtabar. "Conflict Free Path Planning for Multiple Autonomous Guided Vehicle". International Journal of Robotics, Theory and Applications, 9, 1, 2023, 52-61.
HARVARD
Fazlollahtabar, H. (2023). 'Conflict Free Path Planning for Multiple Autonomous Guided Vehicle', International Journal of Robotics, Theory and Applications, 9(1), pp. 52-61.
VANCOUVER
Fazlollahtabar, H. Conflict Free Path Planning for Multiple Autonomous Guided Vehicle. International Journal of Robotics, Theory and Applications, 2023; 9(1): 52-61.
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