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Capability measure for asymmetric tolerance non-normal processes applied to speaker driver manufacturing

机译:用于扬声器驱动器制造的非对称公差非常规过程的能力度量

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摘要

Process capability indices, C-p(u, v), including Cp, C-pk, C-pm, and C-pmk, have been proposed in the manufacturing industry to provide numerical measures on process potential and performance for normal processes. Earlier studies considered a class of flexible capability indices, called C-Np(u, v), for processes with non-normal distributions where the tolerances are symmetric. In this paper we consider an extension of C-Np(u, v), called C-Np''(u, v), to handle non-normal processes with asymmetric tolerances. The extension takes into account the important property of the asymmetric loss function, which is shown to be more sensitive to process shift and more accurate than C-Np(u, v) in measuring process capability, hence provides better manufacturing quality assurance. Comparisons between C-Np(u, v) and the extension C-NP''(u, v) are provided. We propose a sample percentile estimator, and apply the bootstrap method to find the lower confidence bound for testing manufacturing capability. We also develop an integrated S-PLUS program to calculate the percentile estimator and the corresponding lower confidence bound. As an illustration, the proposed approach is applied to capability testing of home-theater speaker systems.
机译:在制造业中已经提出了包括Cp,C-pk,C-pm和C-pmk在内的过程能力指数C-p(u,v),以提供有关正常过程的过程潜力和性能的数值度量。较早的研究针对公差为对称的具有非正态分布的过程,考虑了一类称为C-Np(u,v)的柔性能力指数。在本文中,我们考虑了C-Np(u,v)的扩展,称为C-Np''(u,v),以处理具有不对称公差的非正态过程。该扩展考虑了非对称损失函数的重要属性,该函数对过程偏移更敏感,并且在测量过程能力方面比C-Np(u,v)更准确,因此可提供更好的制造质量保证。提供了C-Np(u,v)和扩展名C-NP''(u,v)之间的比较。我们提出了一个样本百分位数估计量,并应用自举方法来找到用于测试制造能力的较低置信区间。我们还开发了一个集成的S-PLUS程序来计算百分位数估计量和相应的较低置信区间。作为说明,所提出的方法被应用于家庭影院扬声器系统的能力测试。

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