Applying Data Driven Approach to Cluster Components for Preventive Maintenance

• Main Authors: Kuan-Yu Chen, 陳冠宇
• Other Authors: 許秉瑜
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/479gt4

碩士 === 國立中央大學 === 企業管理學系 === 106 === Utilizing preventive maintenance can reduce machine’s shutdown and improve the equipment efficiency. Traditional preventive maintainance methods focus on maintaining single component. The research, however, strives to maintain a group of components to further reduce the maintenance time. Components are clustered into group according to the their distributions of lifespans. Clusters that save the most maintenance costs are recommended to managers for maintenance scheduling. The methodology is applied to an auto component company for experiments. The results show that OEE is improved from 81% to 84%.