多变量控制图及过程能力指数在生产中的应用  

Research on Multivariate Control Chart and Process Capability Index Applied for Manufacturing Process

作　　者：雷彬文 龚立雄[1] LEI Binwen;GONG Lixiong(School of Mechanical Engineering,Hubei Univ.of Tech.,Wuhan 430072,China)

机构地区：[1]湖北工业大学机械工程学院,湖北武汉430072

出　　处：《湖北工业大学学报》2023年第1期5-10,共6页Journal of Hubei University of Technology

摘　　要：针对单一控制图对小波动工序过程不能准确识别和诊断的问题,提出将多变量T 2和MEWMA控制图结合起来诊断生产过程的受控情况,再以多变量过程能力指数进一步判定制造企业的工序过程。以多变量T 2、MEWMA控制图以及规范区域为长方形的修正过程能力指数算法等理论为基础,以某电子企业主板控制器生产过程为对象,对影响焊接过程质量的特性因素进行分析。基于联合多变量T 2、MEWMA控制图及过程能力指数,来诊断生产过程的工序状态及影响因素,对样本数据进行了分析和计算。结果表明:所采用的多变量质量诊断算法误差较小,能有效监督和控制生产过程。Aiming at problems that single control charts can’t accurately find and diagnose small swing of process,the paper proposed to joint multivariate T 2 and MEWMA control chart to diagnose manufacturing process state,and judged the production process state by multivariate process capability index.First,it analyzed multivariate T 2 and MEMWA control chart&revision process capability index that norm district is rectangular,and then targeted at an electronic enterprise motherboard controller manufacturing process,focused on the analysis of factors affecting welding process quality.Moreover,it proposed method that jointed multivariate T 2 and MEWMA control chart&process capability index diagnosed production state,respectively analyzed influencing factors of process quality.Result shows that the multivariate quality diagnose error proposed in the paper is small,and can effectively monitor and control manufacturing process.

关 键 词：多变量控制图 过程能力指数 生产过程控制 质量诊断 

分 类 号：TQ460.6[化学工程—制药化工]