A self-starting procedure for monitoring process quality in multistage manufacturing systems
A self-starting procedure for monitoring process quality in multistage manufacturing systems
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DOI：
10.1080/07408170500208354
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发表时间：
2006-04
期刊：
影响因子：
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通讯作者：
Paul F. Zantek;Gordon P. Wright †;R. Plante
中科院分区：
文献类型：
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作者：
Paul F. Zantek;Gordon P. Wright †;R. Plante
制造系统通常包含加工和装配阶段，其输出质量很大程度上受到前一阶段输出质量的影响。文献中已经强调了在此类系统中使用标准统计过程监控程序的缺陷。本文提出了一种监控多级系统中的过程和产品质量的程序。通过考虑每个阶段的输入质量，该程序不仅可以检测是否存在失控情况，还有助于识别导致此类偏离的阶段。我们将之前的研究扩展到工艺参数未知的常见情况。广泛的性能研究表明，该程序可以有效地检测失控情况，并且令人信服地优于现有方法。我们使用主要电子制造商的生产线数据来说明该过程的使用。 †死者
Manufacturing systems typically contain processing and assembly stages whose output quality is significantly affected by the output quality of preceding stages. The deficiencies of using standard statistical process-monitoring procedures in such systems have been highlighted in the literature. This article proposes a procedure to monitor process and product quality in multistage systems. By accounting for the quality of the input to each stage, the procedure not only detects the presence of out-of-control conditions but also helps to identify the stages responsible for such departures. We extend previous research to the common case where the process parameters are unknown. An extensive performance study shows that the procedure is effective in detecting out-of-control conditions and that it convincingly outperforms existing methods. We illustrate the use of the procedure using production line data from a major electronics manufacturer. †Deceased