Abstract:

To achieve safe and efficient work in job shops, this paper proposed a BP-DRFJSP model that considers workers' boredom perception. First, the impact of boredom arising from repetitive tasks on work efficiency and work safety accident risks was analyzed. A mathematical model was developed to quantify this impact, and a scheduling model was established with the optimization objectives of minimizing makespan and production safety risks. Then, a MO-FTTA was designed to solve the model. Finally, comparative experiments and a case study involving MO-FTTA and three other common algorithms were conducted to verify the performance and feasibility of the proposed approach. The results show that when solving BP-DRFJSP model, MO-FTTA achieves better hypervolume (HV) and inverted generational distance (IGD) in 95% of the test instances, with C-metric values close to 1. Moreover, it yields superior objective function values in 90% of the instances compared to other algorithms. In the case study, MO-FTTA reduces the makespan to 79.635 minutes and lowers work safety risk by 1.25%, demonstrating its effectiveness in enhancing production efficiency while mitigating safety risks, thereby supporting safe and efficient workshop operations.

Key words: workers' boredom perception(BP), work safety scheduling, processing efficiency, work safety accidents, dual-resource flexible job shop scheduling (DRFJSP), multi-objective football team training algorithm (MO-FTTA)