| 书目名称 | Frontiers in Statistical Quality Control 6 | | 编辑 | Hans-Joachim Lenz,Peter-Theodor Wilrich | | 视频video | | | 丛书名称 | Frontiers in Statistical Quality Control | | 图书封面 |  | | 描述 | In the 1920‘s, Walter Shewhart visualized that the marriage of statistical methods and manufacturing processes would produce reliable and consistent quality products. Shewhart (1931) conceived the idea of statistical process control (SPC) and developed the well-known and appropriately named Shewhart control chart. However, from the 1930s to the 1990s, literature on SPC schemes have been "captured" by the Shewhart paradigm of normality, independence and homogeneous variance. When in fact, the problems facing today‘s industries are more inconsistent than those faced by Shewhart in the 1930s. As a result of the advances in machine and sensor technology, process data can often be collected on-line. In this situation, the process observations that result from data collection activities will frequently not be serially independent, but autocorrelated. Autocorrelation has a significant impact on a control chart: the process may not exhibit a state of statistical control when in fact, it is in control. As the prevalence of this type of data is expected to increase in industry (Hahn 1989), so does the need to control and monitor it. Equivalently, literature has reflected this trend, and rese | | 出版日期 | Conference proceedings 2001 | | 关键词 | ANOVA; Item; Manufacturing; Measure; Time series; data analysis | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-642-57590-7 | | isbn_softcover | 978-3-7908-1374-6 | | isbn_ebook | 978-3-642-57590-7Series ISSN 2698-2706 Series E-ISSN 2698-2714 | | issn_series | 2698-2706 | | copyright | Springer-Verlag Berlin Heidelberg 2001 |
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发表于 2025-3-21 18:08:31
