Author:
Shen Weilei,Jiang Qiangqiang,Yang Yang
Abstract
Purpose
The purpose of this paper is to construct a task assignment model for U-shaped production lines with collaborative task, which is optimized by minimizing the number of workers and balancing the workload of the operators. The ultimate goal is to increase productivity by increasing the U-line balance and balancing the load on the operators.
Design/methodology/approach
First, task selection and update mechanism are analyzed and the task selection mechanism suitable for collaborative task is proposed. Second, M-COMOSAL is obtained by improving the original COMOSAL. Finally, The M-COMOSAL algorithm and the COMAOSAL algorithm are used to perform job assignment on the double-acting clutch U-shaped assembly line.
Findings
According to the allocation scheme obtained by M-COMSOAL, the beat can be adjusted according to the change of order demand. The final allocation scheme is superior to the COMSOAL algorithm in terms of number of workers, working time, production tempo and balance rate. In particular, compared with the old scheme, the new scheme showed a decrease of 16.7% in the number of employees and a 18.8% increase in the production line balance rate. Thus, the method is helpful to reduce the number of operators and balance the workload.
Originality/value
The new algorithm proposed in this paper for the assignment of collaborative task can minimize the number of workers and balance the load of operators, which is of great significance for improving the balance rate of U-shaped production lines and the utilization of personnel or equipment.
Subject
Industrial and Manufacturing Engineering,Control and Systems Engineering
Reference26 articles.
1. Workload smoothing in simple assembly line balancing;Computers & Operations Research,2018
2. Dynamic task classification and assignment for the management of human-robot collaborative teams in work cells;The International Journal of Advanced Manufacturing Technology,2018
3. Heuristic PAC model for hybrid MTO and MTS production environment;International Journal of Production Economics,2003
4. Automatic assembly task assignment for a multi robot environment;Control Engineering Practice,1996
5. Stochastic two-sided U-type assembly line balancing: a genetic algorithm approach;International Journal of Production Research,2016