@article{oai:kansai-u.repo.nii.ac.jp:00018924,
 author = {Yeh, Jun-Hsien},
 journal = {Science and technology reports of Kansai University = 関西大学理工学研究報告},
 month = {Mar},
 note = {Based on the recent trend toward higher consumer demand for customized products, the possibility of mass customization has become a topic of great importance for companies. In order to deal with seasonal fluctuations in demand, most companies require flexible scheduling of the manpower involved in product assembly; one means of achieving this flexibility is by hiring dispatch laborers. Ensuring the productivity of new employees and their departments under conditions of continuous employee turnover on the production line has become an essential element of the modern manufacturing business. This research uses the fuzzy c-means clustering method to develop a new model for evaluating employees' ability to perform on the production line and identifying which operational capabilities are suitable for each employee. This study used a personal computer assembly process as an empirical analysis case. The results show that this evaluation model enables users to accurately determine what new employees are good at, which will inform them where each employee should be assigned so that the products can be assembled most efficiently. Our evaluation model can not only provide companies with a reference and judgment basis for more efficient staffing, but also help them reduce lead time when changing production lines or production line configurations and increase their production efficiency and profit.},
 pages = {53--66},
 title = {Assigning Unskilled Workers on the Production Line According to the Fuzzy C-Means Clustering Method},
 volume = {63},
 year = {2021}
}