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3742. Scheduling of workers and robots in collaborative assembly lines
Invited abstract in session WC-49: Machine scheduling problems, stream Lot Sizing, Lot Scheduling and Production Planning.
Wednesday, 12:30-14:00Room: M1 (building: 101)
Authors (first author is the speaker)
| 1. | Yiting Sun
|
| College of Management and Economics, Tianjin University | |
| 2. | Zhaofang Mao
|
| Tianjin University |
Abstract
Industry 5.0 promotes human-centric industries. Human-robot collaboration is a rapidly developing production mode. By combining the strengths of humans and robots, it not only improves production efficiency but also reduces ergonomic risks for workers. We study how to schedule workers and robots in a collaborative assembly line. We formulate a mixed integer programming model and propose an adaptive simulated annealing algorithm. We compare our algorithm with genetic algorithm and artificial bee colony algorithm. The experimental results show that our algorithm outperforms the others. Furthermore, we analyze the impact of the human-machine collaboration on the assembly line balancing plan. We find that the fairness of workload distribution among workers may deteriorate due to human-robot collaboration, which is something to be aware of.
Keywords
- Scheduling
- Metaheuristics
Status: accepted
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