Shortening Repair Time In The Motor Repair Industry Use Genetic Algorithm

• Main Authors: HSAIO,PO-YUAN, 蕭博元
• Other Authors: MA,HENG
• Format: Others
• Language: zh-TW
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/2dh4zr

碩士 === 中華大學 === 工業管理學系 === 107 === Motors are necessary parts for the majority of electrical instruments, such as air-conditioners, elevators, vehicles and medical equipment. Motors rely on electricity to provide energy for these instrument because they could not be operational without a running motor. Recently, because of technology advances and human needs, the composition of motors becomes increasingly complex, and its variety is getting larger and larger. Such a situation not only increase the difficulty in arranging the operations for motor maintenance, but also often delay the completion time, influencing the normal business functions of the motor owners. Besides, the motors could be down because of constant running, which could cause damages of peripheral components. Consequently, the maintenance cost could considerably increase. Besides, as the variety of motors is getting large, additional maintenance techniques would be required, and so are manpower. As a result, it becomes difficult in managing technically unstable personnel and prolonging the maintenance time could often happen. Therefore, arranging the maintenance processes and keep the due dates in order are the purpose of this study. Genetic algorithms will be employed to resolved the above-stated problems and maintenance time reduction is expected. The proposed model will be evaluated by the real operational data from several motor maintenance shops or companies, and the experimental results will be tested in other ones.