A Frame Work for the Integration of Statistical Process Control and Engineering Process Control

A. Saif
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引用次数: 6

Abstract

In Systems Engineering, there are two methods that are used to improve the product quality and to adjust process parameters. These methods are called Statistical Process Control (SPC) and Automation Process Control (APC). These strategies are the most tools used in improving the product quality for years, but they are developed separately and used in industries. In industry, there was no realization that these two techniques are complementary. The integration of SPC and APC started first by J. MacGregor in 1988 who introduced this concept into the research community. This work followed and supported in 1992 by the work of G. Box and T. Kramer. The research followed came up to a conclusion that combination of these two techniques will result in better performance than using each alone. This paper first will highlight the developments so far achieved in the integration of this two techniques. Then a proposed scheme will be presented to integrate SPC and APC to solve some tasks. New directions of research in integrating these techniques will be highlighted.
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统计过程控制与工程过程控制集成的框架
在系统工程中,有两种方法用于提高产品质量和调整工艺参数。这些方法被称为统计过程控制(SPC)和自动化过程控制(APC)。这些策略是多年来用于提高产品质量的最常用的工具,但它们是单独开发并在工业中使用的。在工业中,没有人意识到这两种技术是互补的。SPC和APC的整合首先由J. MacGregor于1988年开始,他将这一概念引入研究界。这项工作在1992年得到G. Box和T. Kramer的支持。随后的研究得出了一个结论,即这两种技术的结合比单独使用会产生更好的性能。本文首先将强调迄今为止在这两种技术的集成方面取得的进展。然后提出了一种集成SPC和APC的方案来解决一些问题。本文将重点介绍整合这些技术的新研究方向。
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