刘阶萍, 罗振璧, 陈禹六. 工序能力指数的统计分析及改进[J]. 工程科学学报, 2004, 26(2): 206-210. DOI: 10.13374/j.issn1001-053x.2004.02.023
引用本文: 刘阶萍, 罗振璧, 陈禹六. 工序能力指数的统计分析及改进[J]. 工程科学学报, 2004, 26(2): 206-210. DOI: 10.13374/j.issn1001-053x.2004.02.023
LIU Jieping, LUO Zhenbi, CHEN Yuliu. Statistical Analysis and Improvement of Process Capability Indices[J]. Chinese Journal of Engineering, 2004, 26(2): 206-210. DOI: 10.13374/j.issn1001-053x.2004.02.023
Citation: LIU Jieping, LUO Zhenbi, CHEN Yuliu. Statistical Analysis and Improvement of Process Capability Indices[J]. Chinese Journal of Engineering, 2004, 26(2): 206-210. DOI: 10.13374/j.issn1001-053x.2004.02.023

工序能力指数的统计分析及改进

Statistical Analysis and Improvement of Process Capability Indices

  • 摘要: 为了提高制造过程质量,预防和减少不合格产品的数量,必须选用高效的控制方法对制造过程进行质量控制,针对当前工序能力指数CPCpk应用不足,难以指导质量问题原因查找和改进方向的缺点,提出了适于现场应用的三个过程能力测度指标Cpa,CpeCpc,用于反映和控制过程质量的分散和偏移,通过具体应用实例,证明了改进指标的适用性。

     

    Abstract: To increase product quality and predict the unqualified products, effective control methods must be selected. Considering the disadvantages of process capability indices Cp and Cpk that are hard to help to find the reason of quality problems and direct quality improvement, three new indices Cps, Cpc, and Cpc available in real time are introduced to control the scatters and errors. Finally the feasibility of these indices is proved by an application.

     

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