数据驱动的光电模块生产过程优化及改善

Data Driven Production Process Optimization and Improvement of Photoelectric Module

文章利用光电模块生产数据,基于贝叶斯网络分析识别光模块生产过程的瓶颈环节,为光纤盘纤和光纤熔接中的光纤切割环节提供支持。最后,结合光电模块生产特点及现状,提出相应改进措施,优化及改善光电模块的生产过程,应用效果显示,该识别方法及改善措施有效且经济。

In this paper,the bottleneck of optical module production process is identified based on Bayesian network analysis using photoelectric module production data.The bottleneck link is identified and analyzed as fiber disc fiber and fiber cutting link in fiber welding.Finally,combined with the characteristics and current situation of photoelectric module production,the corresponding improvement measures are proposed to optimize and improve the production process of photoelectric module.The application results show that the identification method and improvement measures in this paper are effective and economical.