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Economic statistical design of X-control charts: Modified version of Rahim and Banerjee (1993) model

机译:X控制图的经济统计设计:Rahim和Banerjee(1993)模型的修改版

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Rahim and Banerjee considered a constant integral of the hazard function for all sampling intervals. This led the sampling intervals to depend on the extended first sampling interval (h(1)). Since this limitation might not lead to an optimal situation, we first showed that elimination of the mentioned restriction did not cause any significant change in the average quality cycle cost. So if one is looking for an ideal cost and the simplicity of the process, the approach taken in Rahim and Banerjee's study is the best procedure to adopt. Moreover, in many cases of non-uniform sampling method the first sampling interval becomes so large and this can sometimes lead the production system to the out-of-control state due to unexpected failures that might happen during that time. Therefore, we proposed a new model of uniform and non-uniform sampling intervals combination that allows us to confine the value of h(1) without undergoing high costs. The proposed model showed that the quality cycle cost of the proposed model is lower than Rahim and Banerjee's model in the economic-statistical state. For more illustration, we conducted sensitivity analysis and gave numerical examples.
机译:Rahim和Banerjee在所有采样间隔中均考虑了危险函数的常数积分。这导致采样间隔取决于扩展的第一采样间隔(h(1))。由于此限制可能不会导致最佳情况,因此我们首先表明消除上述限制不会导致平均质量周期成本发生任何重大变化。因此,如果您正在寻找理想的成本并简化流程,那么Rahim和Banerjee的研究方法就是采用的最佳方法。而且,在许多非均匀采样方法的情况下,第一个采样间隔变得如此大,有时由于在此期间可能发生的意外故障,有时会导致生产系统进入失控状态。因此,我们提出了统一和非统一采样间隔组合的新模型,该模型允许我们在不承受高成本的情况下限制h(1)的值。提出的模型表明,在经济统计状态下,提出的模型的质量周期成本要低于Rahim和Banerjee的模型。为了进行更多说明,我们进行了敏感性分析并给出了数值示例。

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