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A short note on the effect of sample size on the estimation error in C_p

机译:关于样本大小对C_p中估计误差的影响的简短说明

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摘要

Process capability indices such as C_p are used extensively in manufacturing industries to assess processes in order to decide about purchasing. In practice, the parameter for calculating C_p is rarely known and is frequently replaced with estimates from an in-control reference sample. This article explores the optimal sample size required to achieve a desired error of estimation using absolute percentage error of different C_p estimates. Moreover, some practical tools are created to allow practitioners to find sample size in different situations.
机译:诸如C_p之类的过程能力指数在制造业中被广泛使用,以评估过程以决定购买。在实践中,用于计算C_p的参数鲜为人知,并且经常被来自控制中参考样本的估计值所替代。本文探讨了使用不同C_p估计的绝对百分比误差来实现期望的估计误差所需的最佳样本大小。此外,还创建了一些实用的工具,使从业人员可以找到不同情况下的样本量。

著录项

  • 来源
    《Quality engineering》 |2016年第4期|455-466|共12页
  • 作者单位

    Department of Industrial and Systems Engineering, Auburn University, Auburn, AlabamaDepartment of Industrial and Systems Engineering, Auburn University, Auburn, AL 36830;

    Department of Industrial and Systems Engineering, Auburn University, Auburn, AlabamaDepartment of Industrial and Systems Engineering, Auburn University, Auburn, AL 36830;

    Department of Industrial and Systems Engineering, Auburn University, Auburn, AlabamaDepartment of Industrial and Systems Engineering, Auburn University, Auburn, AL 3683;

    Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran;

    Department of Industrial and Systems Engineering, Auburn University, Auburn, AlabamaDepartment of Industrial and Systems Engineering, Auburn University, Auburn, AL 36830;

  • 收录信息 美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    absolute percentage error; Phase Ⅰ; process capability; six sigma; standard deviation;

    机译:绝对百分比误差;阶段Ⅰ;制程能力;六个西格玛;标准偏差;
  • 入库时间 2022-08-17 13:32:18

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