抽样检验计划下“越小越好”过程能力分析模型的发展

Q3 Engineering
Chang-Hsien Hsu
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引用次数: 1

摘要

在实践中,由于成本和时间的考虑,质量经理经常采用抽样检验来测试和评价过程性能或产品质量,而不是100%的检验。基于这一因素,本文建立了一个小而优的过程能力分析模型(SBPCAM),以小而优的C_(pu)的过程能力指数(PCI)为基础,以精度指数(a)和精度指数(P)为函数,衡量具有多种质量特征的产品的过程能力是否符合客户要求。采用联合置信块控制图(JCB)减小了抽样误差,提高了指标C_(pu)点估计的可靠性。算例说明了该方法的可行性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of a Smaller-the-better Process Capability Analysis Model under a Sampling Inspection Plan
In practice, quality managers often employ sampling inspection to test and evaluate process performance or product quality instead of a 100% inspection, owing to cost and time considerations. Based on this factor, this article develops a smaller-the-better process capability analysis model (SBPCAM) to measure whether process capability of a product with multiple quality characteristics conforms to customer requirements, based on the process capability index (PCI) of smaller-the-better C_(pu) with the functions of the accuracy index (A) and the precision index (P). In the proposed method, a control chart with joint confidence blocks (JCB) is used to reduce sampling error and to improve the reliability of the point estimate of index C_(pu). A numerical example is provided to illustrate the feasibility and effectiveness of the proposed method.
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来源期刊
International Journal of Information and Management Sciences
International Journal of Information and Management Sciences Engineering-Industrial and Manufacturing Engineering
CiteScore
0.90
自引率
0.00%
发文量
0
期刊介绍: - Information Management - Management Sciences - Operation Research - Decision Theory - System Theory - Statistics - Business Administration - Finance - Numerical computations - Statistical simulations - Decision support system - Expert system - Knowledge-based systems - Artificial intelligence
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