Process / pipelineEngineering methods
多响应控制图 — 多元过程监控
多响应控制图在单个图上同时监控两个或多个相关的质量特性，保留了单变量图所忽略的相关结构。它基于Hotelling T²统计量及其时间加权扩展（MEWMA、MCUSUM），能够检测出如果每个响应独立绘制图表将会错过的过程偏移。当产品性能依赖于多个相互关联的输出来衡量时，它是制造业和服务质量的标准工具。
阅读完整方法
仅限会员
登录使用免费账户登录即可阅读本节。
Method map
The neighbourhood of related methods — select a node to explore.
来源
- Hotelling, H. (1947). Multivariate quality control illustrated by the air testing of sample bombsights. In C. Eisenhart, M. W. Hastay, & W. A. Wallis (Eds.), Techniques of Statistical Analysis (pp. 111–184). McGraw-Hill. link ↗
- Lowry, C. A., Woodall, W. H., Champ, C. W., & Rigdon, S. E. (1992). A multivariate exponentially weighted moving average control chart. Technometrics, 34(1), 46–53. DOI: 10.1080/00401706.1992.10485232 ↗
如何引用本页
ScholarGate. (2026, June 3). Multi-response Statistical Process Control Chart. ScholarGate. https://scholargate.app/zh/experimental-design/multi-response-control-chart
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- 控制图实验设计↔ compare
- 失效模式与影响分析 (FMEA)实验设计↔ compare
- 多响应实验设计实验设计↔ compare
- 多响应响应面法实验设计↔ compare
- 过程能力分析 (Cp, Cpk)统计学↔ compare
- 统计过程控制实验设计↔ compare