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首页> 外文期刊>International Journal of Production Research >Assessing process incapability when collecting data from multiple batches
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Assessing process incapability when collecting data from multiple batches

机译：从多个批次中收集数据时评估流程能力

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摘要

Process capability indices have been widely used in industry to measure the ability of firms to meet quality specifications. The C_(pp) index not only can directly reflect the process incapability, but also provides more information regarding process inaccuracy and imprecision than other indices. Therefore, it can help contract manufacturers to better understand their processes for improving quality performance. In real applications, the sampling data are often collected from multiple batches. Based on this condition, this study proposes an alternate method to assess the true C_(pp) value. The concept of generalised pivotal quantity is used, and the generalised confidence interval is derived to estimate C_(pp). Furthermore, we provide simulations to compare the performances of our proposed method with an existing method. The results show that the empirical confidences of the two methods are affected by the degree of process departure. Therefore, practitioners can select the appropriate one to assess the process capability, depending on the degree of process departure.
机译：流程能力指数已在行业中广泛用于衡量企业满足质量规格的能力。与其他索引相比，C_（pp）索引不仅可以直接反映过程的不能力，而且还提供有关过程不准确性和不精确性的更多信息。因此，它可以帮助合同制造商更好地了解他们的过程，以提高质量绩效。在实际应用中，采样数据通常是从多个批次中收集的。基于此条件，本研究提出了另一种评估真实C_（pp）值的方法。使用广义枢纽量的概念，并推导广义置信区间以估计C_（pp）。此外，我们提供了仿真，以比较我们提出的方法和现有方法的性能。结果表明，两种方法的经验置信度受过程偏离程度的影响。因此，从业者可以根据过程偏离的程度选择合适的方法来评估过程能力。

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