Optimized scheduling in reentrant robotic cell with dual-gripper robot and parallel lines
- Resource Type
- Conference
- Authors
- Wang, Chuyuan; Liu, Chongdang; Zhang, Linxuan; Sun, Heqing; Qi, Liwei
- Source
- 2017 IEEE International Conference on Robotics and Biomimetics (ROBIO) Robotics and Biomimetics (ROBIO), 2017 IEEE International Conference on. :2117-2122 Dec, 2017
- Subject
- Bioengineering
Communication, Networking and Broadcast Technologies
Computing and Processing
General Topics for Engineers
Robotics and Control Systems
Signal Processing and Analysis
Workstations
Job shop scheduling
Grippers
Service robots
Encoding
robotic cell scheduling
parallel production
dual-gripper
reentrant workstation
- Language
This paper deals with the multi-degree cyclic robotic cell scheduling problem with multiple parallel flow shop lines. The objective is to find the optimal sequence of robot operations aimed at maximizing the throughput. Considering our practical scenario, a robotic cell with a single dual-gripper robot and reentrant workstations is taken into consideration. We present a mixed-integer linear programming model for this problem and propose a hybrid particle swarm optimization algorithm (HPSO) with local search operators. Computational experiments are conducted by comparing with other two meta-heuristic algorithms. The results validate the effectiveness of the proposed algorithm. Based on the numerical analysis, we obtain the optimal assignment of parallel lines under the same operating conditions and help manufacturers achieve a good balance between processing capacity of workstations and robot serving capability.