Human-machine System Scheduling According to Fatigue and Learning Effects

Nowadays, factories are established based on two important factors: human resources and machines. most manufacturers attempt to provide an optimal production schedule to use machines efficiently, but few of them pay attention to human resources. in this paper, we propose a mathematical model that optimizes the production schedule considering the human fatigue and learning-forgetting process. the proposed model aims to minimize the machines and human resources idleness cost and decreases the human resources fatigue. the main results show that human-machine system scheduling considering the fatigue and learning-forgetting process increases the quality of products and decreases the human fatigue. on the other hand, the model can efficiently provide an optimal scheduling for human resources and machines to improve the total productivity.