多级工艺中简单线性轮廓的工艺能力分析

IF 1.1 Q3 STATISTICS & PROBABILITY Pakistan Journal of Statistics and Operation Research Pub Date : 2024-03-07 DOI:10.18187/pjsor.v20i1.4410
Saeed Adibfar, R. Noorossana
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引用次数: 1

摘要

当一个过程在统计上处于受控状态时,人们可能有兴趣根据客户提供的规格限制来评估该过程的性能。这种评估被称为过程能力分析。制造操作通常涉及多级流程,其中一个阶段的输出是其后续阶段的输入。这种特性被称为级联特性。能力分析研究中的现有方法不适用于以剖面表示过程或产品的情况。本研究提出了一种方法,当产品或过程的质量以简单的线性轮廓表征时,在多阶段过程中进行过程能力分析。通过使用文献中的一个实例进行数值模拟,评估了所提方法在两阶段过程中的性能。结果表明,对于不同的移位大小和自相关性,所提出的方法消除了级联特性的影响。
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Process Capability Analysis for Simple Linear Profiles in Multistage Processes
When a process is statistically under control, one may be interested in assessing the process performance based on the specification limits provided by the customer. This evaluation is referred to as process capability analysis. Manufacturing operations are often involved with multistage processes, in which the output of a stage is the input of its subsequent stage. This property is known as the cascade property. Existing methods in capability analysis studies are not applicable when a process or product is represented by profiles. This study presents a method to conduct process capability analysis in a multistage process when quality of a product or process is characterized by a simple linear profile. The performance of the proposed method for a two-stage process is evaluated by numerical simulation using an example from the literature. The results indicate that the proposed method eliminates the effect of the cascade property for different shift sizes and autocorrelations.
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来源期刊
CiteScore
3.30
自引率
26.70%
发文量
53
期刊介绍: Pakistan Journal of Statistics and Operation Research. PJSOR is a peer-reviewed journal, published four times a year. PJSOR publishes refereed research articles and studies that describe the latest research and developments in the area of statistics, operation research and actuarial statistics.
期刊最新文献
Characterizations of the Recently Introduced Discrete Distributions A New Family of Heavy-Tailed Generalized Topp-Leone-G Distributions with Application A new class of probability distributions with an application in engineering science Approximations to the Moments of Order Statistics for Normal Distribution Approximation Methods for the Bivariate Compound Truncated Poisson Gamma Distribution
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