基于贝叶斯监测的多品种小批量生产动态质量控制

Liangyu Lei, S. Ran, Du Bo, Song Xuyan
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引用次数: 2

摘要

随着环境的复杂多变,传统的控制图已经不能满足日益工业化和复杂化的应用环境的需要。因此,本文分析了传统过程控制的不足,提出了基于Bianca提出的贝叶斯监测的多品种小批量生产动态质量控制方法。并以国内某电子芯片生产企业为例进行了贝叶斯监测研究,结果表明贝叶斯监测方法是切实可行的,有助于质量控制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamic quality control of multi-variety and small batch manufacturing based on Bayesian Monitor
Depend on circumstance more complex and changeable, the traditional control chart no longer meets the need of a more and more industrializing and complicated application environment. Therefore, this thesis is to analyze the shortage of traditional process control, and then propose dynamic quality control of multi-variety and small batch manufacturing based on Bayesian Monitor, which is come up with by Bianca. A case of a Chinese electronic chip manufacturer is studied with Bayesian Monitor, which together with the method studied is proved practical and of help to the quality control.
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