| 引用本文: | 王立岩,唐加福,宫俊.多元过程能力指数的研究综述[J].控制理论与应用,2009,26(10):1118~1125.[点击复制] |
| Wang li-yan,TANG Jia-fu,GONG Jun.A review on multivariate processes capability indices[J].Control Theory and Technology,2009,26(10):1118~1125.[点击复制] |
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| 多元过程能力指数的研究综述 |
| A review on multivariate processes capability indices |
| 摘要点击 1791 全文点击 1988 投稿时间：2008-03-13 修订日期：2009-04-14 |
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| DOI编号 |
| 2009,26(10):1118-1125 |
| 中文关键词 统计过程控制 多元过程能力分析 多元过程能力指数 |
| 英文关键词 statistical process control analysis of multivariate process capability multivariate process capability indices(MPCIs) |
| 基金项目 国家杰出青年科学基金资助项目(70625001); 国家自然科学基金资助项目(70601004); 教育部科技研究重点项目资助项目(104064); 教育部新世纪优秀人才支持计划资助项目(NCET–04–280). |
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| 中文摘要 |
| 多元质量特性的诊断与控制是现代统计过程控制技术研究的热点和难点, 如何分析多元过程的能力及如何计算其多元过程能力指数还没有公认的方法. 本文详细列举了4种主要思路下构建多元过程能力指数的模型, 简单介绍了几种特别的计算和度量多元过程能力指数的方法, 如Bootstrap法、几何距离法等, 最后对各种思路和模型进行了简单对比. |
| 英文摘要 |
| Diagnosing and controlling the multivariate characteristics are hot and difficult topics in the area of modern statistical process control. There is no any effective way to analyze the multivariate process capability, nor is to compute its indices. Four ideas of computing multivariate process capability indices(MPCIs) and the corresponding models are described; some special methods for their computation are also briefly introduced, such as the bootstrap method, and the geometric-distance approach. Finally, a simple comparison and conclusion of these models and methods are made.
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