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Cumulative Count of Conforming Chart with Variable Sampling Intervals for Markov Dependent Production Processes

机译:Markov依赖性生产过程的变量采样间隔综合图表的累积计数

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The cumulative count of conforming (CCC) chart is received amount of attention for automatically manufacturing processes recently. The CCC chart with variable sampling intervals (CCCVSI) has shown to be more efficient than the conventional CCC chart with fixed sampling interval (CCCFSI). In all of these studies, the production process is assumed to follow an independent and identically distributed Bernoulli pattern. However, it is common that the process characteristics become dependent in realistic situations, particularly when the production is automated. In this research, a variable sampling interval procedure of the CCC chart is developed for a serially dependent process and the new scheme is more suitable for the modern manufacturing production processes. Key words: CCC chart, Variable sampling interval, Markov dependent.
机译:综合(CCC)图表的累积计数最近收到了自动制造过程的注意量。具有可变采样间隔(CCCVSI)的CCC图表已比具有固定采样间隔(CCCFSI)的传统CCC图表更有效。在所有这些研究中,假设生产过程遵循独立和相同分布的Bernoulli模式。然而,常见的是,过程特征依赖于现实情况,特别是当生产是自动化的。在该研究中,开发了CCC图表的可变采样间隔过程,用于串联依赖过程,新方案更适合现代制造生产过程。关键词:CCC图表,可变采样间隔,Markov依赖于Markov。

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