摘要
为研究多装配阶段因素因果关联致使产线良率传导与形成的机理,以实验室手机组装数字孪生产线为原型测试平台,围绕该平台锁螺丝、点胶两大工艺段良率问题,从因果关联关系出发,提出智能手机组装工艺过程产品质量-设备可靠性耦合建模方法,构建考虑多阶段因果要素关联的动态贝叶斯网络(dynamic Bayesian network,DBN)模型,并进行影响最终良率形成的溯因分析与重要度评价。所提方法的可用性和有效性在手机组装数字孪生产线上获得了测试和验证,所提方法可为产线良率损失阻隔机制、产线预防性维护决策提供性能评估支撑。
A laboratory digital twin production line for assembling smart phones is built as a prototype testing platform to study the yield transmission and formation mechanisms of production lines caused by the causal relationship of factors in multiple assembly stages.Focusing on two yield issues in screw locking and dispensing processes,a coupled modeling method integrating product quality and equipment reliability for smartphone assembly processes is proposed with the consideration of causal relationships.A dynamic Bayesian network(DBN)model is developed considering causal factors across multiple assembly stages.Then,root cause tracing and importance evaluation affecting final yield formation are conducted.The feasibility and effectiveness of the proposed approache are tested and verified on the digital twin testing platform for assembling smart phones,providing performance evaluation support for yield loss prevention mechanisms and proactive maintenance decisions on production lines.
作者
罗毅
张定
刘强
LUO Yi;ZHANG Ding;LIU Qiang(School of Electromechanical Engineering,Guangdong University of Technology,Guangzhou 510006,China)
出处
《工业工程》
2024年第4期19-28,共10页
Industrial Engineering Journal
基金
国家自然科学基金资助面上项目(72271067)
广东省国际科技合作项目(2022A0505050047)。
关键词
手机装配线
工艺可靠性
质量-可靠性
因果关系建模
动态贝叶斯网络
smart phone assembly line
process reliability
quality-reliability
causal relationship modeling
dynamic Bayesian network