On-Line Process Quality Control Rules' Establishment and Practicability

Autor: Yang Der-Fang, 楊德芳
Rok vydání: 1995
Druh dokumentu: 學位論文 ; thesis
Popis: 83
Shewhart(1931)提出品質管制圖及檢定規則,此後發展的管制圖大都依循 此種判斷方式,這種屬於離線方式的制程診斷主要是針對人工檢驗而設計 的,且目前所發展的品質管制專家系統亦是延用傳統的管制法則. 但由於 科技的進步與電腦技術的發展,檢驗自動化已成為趨勢, 而傳統管制法則 卻不能滿足此種檢驗的方式. 因此發展線上製程品質管制法則是必要的, 也就是希望藉由此種法則能夠立即偵測製程狀況,避免下一個不良品的產 生,以解決傳統管制圖反應延遲的問題.本研究主要是假設當製程穩定時, 觀察值相互獨立且服從常態分配, 利用統計技巧中母體比率的假設檢定來 發展線上製程品質管制法則,期望錯誤警報率0.005. 最後運用影像處理的 技術作實例分析. The quality control chart and inspection rules were proposed by Shewhart in 1931. The off-line process control diagnosis is mainly designed for artificial inspection, and development of expert system of quality control at present continuse following the tradition process control rules. For progress in science and computer technology makes the automated inspection be available. However, the tradition process control rules can't fit the style of the inspection. Therefore, it is necessary to develop the "On-Line process Quality Control Rules". That is, expecting to detect the condition of process immediately to avoid the next defective and solving the delay of reaction of the traditional process control charts. This research, which assumes when the process stable, and the data is independent and identically distributed (iid). By using the hypothesis testing of the multi-population proportion, develops the "On- Line Process Quality Control Rules" to expect the probability of false alarm to be 0.005. Finally, an actual example by using the technique of image process is made to reveal the practical way of those rules developed in this research.
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