3 . single - variable spc and its disadvantages are pointed out , then some statistical variables and techniques of mspc are emphasized . multi - dimension data processing is transformed to the analysis of a single statistical variable by defining different statistical variables 3 、介绍了单变量统计过程控制方法及其所固有的局限性，概述和总结了多变量统计过程控制中的主要统计量和基本分析处理方法，为对实际生产过程的监控提供了方向。
Single variable statistical process control ( svspc ) and mspc are both spc , the shortage of svspc is that it only notices the value of one variable at some moment , not suiting to analyze the multivariable process data with interrelation among them 统计过程控制包括单变量统计方法和多元统计方法。传统的单变量统计过程控制技术的局限性在于仅注意监视某一时刻的一个质量变量或关键过程变量，不适合分析变量间存在相关特性的多变量过程数据。
As a reasonable and effective carrier and organic form of product quality data stream , quality bom is based on product structure and configuration and helpful to implement better product statistical quality process control to resolve data separation 该模型以产品结构和配置为引导,作为产品质量数据流合理有效的载体和组织形式,合理、完整、有序地组织和管理产品质量数据,实现了质量数据的有机集成,便于实现高质量的军工产品质量统计过程控制。
The main research work includes as following : 1 . we tell the relation between quality management and spc , summarize the application and development of spc and sum up its characteristics , introduce the basic concept , main types , techniques and implementation procedure of spc 本文主要内容有： 1 、简单叙述了质量管理与统计过程控制( spc )的关系，综述了其应用与发展的现状及发展特点，介绍了spc的基本概念、主要类型、基本方法和实施过程。
The method to apply the statistical analysis theory in supervision of quality of product in manufacture process is statistical process control ( spc ) , which is the effectual tool to get eligible product and the foundation for supervising process performance and fault diagnosis 应用数学统计分析理论对生产过程进行产品质量监视和控制的方法称为统计过程控制( spc ) 。统计过程控制是获得合格产品质量的有效工具，同时也是过程性能监视和过程故障诊断的基础。
