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Computation of the probability of a process being in control at the third stage for the TS X chart

机译:TS X图表在第三阶段计算过程处于受控状态的可能性

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He et al, in their paper 'Design of double- and triple-sampling X-bar control charts using genetic algorithm' [2002, International Journal of Production Research, 40 (6), 1387-1404], used a genetic algorithm to optimize the obtained model of double- and triple-sampling X control charts. In order to obtain the type I and II error probabilities, they calculated the probabilities that the TS X chart indicates that the process is in control at the first, second and third stages of sampling. In this article, we use a different approach to calculate the probability that the TS X chart indicates that the process is in control at the third stage (P_(a3)). The advantage of this new computational approach is that it requires only single integration rather than the double integration required by He et al. The new approach reduces the computational complexity and increases the accuracy of the probability estimation, since such integration normally involves an approximation.
机译:He等人在他们的论文“使用遗传算法设计两次和三次采样X-bar控制图”中[2002,国际生产研究杂志,40(6),1387-1404],使用遗传算法来优化获得的两次和三次采样X控制图模型。为了获得类型I和II的错误概率,他们计算了TS X图表指示该过程在采样的第一,第二和第三阶段处于控制状态的概率。在本文中,我们使用另一种方法来计算TS X图表指示该过程处于第三阶段处于控制状态的概率(P_(a3))。这种新的计算方法的优势在于它只需要单次积分,而不需要He等人的双重积分。新方法降低了计算复杂度并提高了概率估计的准确性,因为这种集成通常涉及一个近似值。

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