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Optimization of Design Parameters for x Control Charts with Multiple Assignable Causes

机译:具有多个可分配原因的x控制图的设计参数的优化

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Duncan's economic model of Shewhart's original x chart has established its optimal and economic application for processes with the Markovian failure characteristic. As the sample statistics show some indications of process variations, the variable-sampling-interval (VSI) control charts perform more effectively than the fixed sampling interval (FSI) ones due to a higher frequency in the sampling rate. Regarding the economic design of control charts, most studies have been dedicated to the FSI scheme. In 1998, Bai & Lee considered the production process with a single assignable cause and proposed an economic VSI design for a general x control chart. However, in real cases, there are multiple assignable causes in the production process. Therefore, concerning the operation characteristics of the real industry, this research develops an economic model for the VSI control chart with multiple assignable causes based on stochastic and statistics theory and determines the optimal design parameters of the chart. A numerical example is also provided to demonstrate the effectiveness of the proposed model and the result indicates that VSI performs more effectively than a FSI control chart.
机译:Duncan的Shewhart原始x图表的经济模型为具有马尔可夫失效特征的过程建立了最优的经济应用。由于样本统计信息显示了一些过程变化的迹象,因此可变采样间隔(VSI)控制图的性能要比固定采样间隔(FSI)的有效,这是因为采样率的频率较高。关于控制图的经济设计,大多数研究都致力于FSI计划。 1998年,Bai&Lee考虑了具有单个可分配原因的生产过程,并提出了针对通用x控制图的经济VSI设计。但是,在实际情况下,生产过程中有多个可分配的原因。因此,针对实际行业的经营特点,本研究建立了基于随机和统计理论的具有多个可分配原因的VSI控制图经济模型,并确定了该图的最佳设计参数。还提供了一个数值示例来证明所提出模型的有效性,结果表明VSI比FSI控制图更有效。

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