Title of article
Human-machine System Scheduling According to Fatigue and Learning Effects
Author/Authors
jamshidi, rasul damghan university - school of engineering, ايران
From page
265
To page
274
Abstract
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.
Keywords
Maintenance , Human Resources , Fatigue , Recovery , learning Process
Journal title
International Journal of Industrial Engineering and Production Research
Journal title
International Journal of Industrial Engineering and Production Research
Record number
2565063
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