Study on Machinery Manufacturing Optimization of Photoelectron Industry-- An Example of Part Welding

• Main Authors: Yong-Fu, Lin, 林永福
• Other Authors: Wen-Tsann Lin
• Format: Others
• Language: zh-TW
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/40321801374127183438

碩士 === 國立勤益科技大學 === 研發科技與資訊管理研究所 === 101 === Taiwan has been actively promoting the development of photoelectron industry since 1980s. Over the past years，Taiwan industry has made rapid advancement in manufacturing optoelectronics, optical displays, optical communications, optical storage, optical input and output, laser and its applications. To manufacture optoelectronics parts, techniques of traditional mechanical industries remain to be applied in many aspects, for example, welding is one of the indispensable processing methods. Nowadays, every producer asks for rapidness, stableness and accuracy in manufacturing line. To fulfill the three requirements, the process should develop toward automated production. Automated production can reduce labor cost, enhance overall equipment effectiveness, increase capacity and stabilize product quality. In that case, it’s necessary to implement automated production. The study used the robot arm to improve the welding process. First, we interviewed several domestic welding companies and collect data. Then we invited specialists of QFD and TRIZ into discussion and found out the process improving factors. Finally we input correlated parameters of scheduling and human machine interaction time into simulation software, evaluated the optimized process based on different plots, and reached the goal of improving. THE study may help industry make decision. Integrating QFD and TRIZ, we get the three main factors in constructing production line which are (1)time control (2)labor control (3)quality control, and then we use Flexsim to simulate the improving factors and get optimization. The study shows that the original production of case company is 720pcs, after optimization by simulation of the production line, the production will increase by 13%. While the production may increase by 13% after introducing the two previous methods.