統(tǒng)計過程控制(SPC)包含了一系列統(tǒng)計檢測程序,用以確保產(chǎn)品制造或服務(wù)滿足一定的質(zhì)量標準或者符合消費者或客戶的需求�？刂茍D是統(tǒng)計過程控制中的一個重要方法,被廣泛運用于區(qū)分變化中的隨機因素和非隨機因素。設(shè)計、發(fā)展有效的控制圖對改善過程監(jiān)督來說總是值得的。這篇論文針對不同情形為改善過程控制提出了一些新的有效的控制圖,對于產(chǎn)品質(zhì)量從業(yè)人員來說,使用這些新的控制圖將有助于監(jiān)測和提高產(chǎn)品質(zhì)量。當我們能夠獲得被監(jiān)控的質(zhì)量特征有關(guān)的補充信息時,我們可以方便地使用它來提高控制圖的效率從而增加控制圖的敏感性。在這個背景下,針對監(jiān)控一般過程的中心位置,我們通過使用比例型估計量替代簡單的均值估計量將輔助信息帶入CUSUM控制圖。在Shewhart控制圖中通過利用單個樣本的信息對過程狀態(tài)作出決定,這將會推遲對小位移的監(jiān)測。此外,這可能使工程師們基于單個樣本信息決定過程狀態(tài)變得十分困難。在此框架中,我們提出了一般化多個非獨立狀態(tài)(GMDS)抽樣體系,它拓展了非獨立狀態(tài)(MDS)抽樣體系。這個控制圖策略包含了兩對控制極限,結(jié)合了Shewhart體系和MDS體系。我們整合了GMDS體系來設(shè)計變量控制圖以有效監(jiān)督正態(tài)...

【文章頁數(shù)】：140 頁

【學位級別】：博士

【文章目錄】：
Abstract
摘要
Chapter 1 Introduction
    1.1. Statistical Process Control
    1.2. Control Chart
        1.2.1. Phase-Ⅰ and Phase-Ⅱ Control Charts
        1.2.2. Variable and Attribute Control Charts
        1.2.3. Nonparametric Control Charts
    1.3. Some Modified Control Charts for Process Location
    1.4. Motivation
    1.5. Outline of the Thesis
Chapter 2 CUSUM Control Charts using Ratio-Type Estimators
    2.1. Introduction
    2.2. Location Estimators Based on Auxiliary Information
    2.3. General Structure of the Proposed CUSUM Charts
        2.3.1. Algorithm
    2.4. Performance Evaluation
    2.5. Comparison with the Existing Control Charts
        2.5.1. Illustrative Example
    2.6. Conclusion
Chapter 3 Optimal Synthetic Tukey’s Control Charts
    3.1. Introduction
    3.2. Tukey’s Control Chart
    3.3. The Conforming Run Length Chart
    3.4. The Proposed Optimal Synthetic Tukey’s Control Charts
        3.4.1. Computation of ARL Values
        3.4.2. Algorithm
    3.5. Performance Evaluation and Comparison
        3.5.1. Simulation Study
        3.5.2. Real Data Application
    3.6. Conclusion
Chapter 4 A Variable Control Chart under Generalized Multiple Dependent State Sampling
    4.1. Introduction
    4.2. Proposed (?) Control Chart
    4.3. Results and Discussion
    4.4. Comparative Study
        4.4.1. Simulation Study
        4.4.2. Application of the Proposed Chart in Injection Mold Process
        4.4.3. Case Study
    4.5. Conclusion
Chapter 5 Control Charts for Multivariate Poisson Count Data
    5.1. Introduction
    5.2. The Design Structures of the MP Control Charts
        5.2.1 Algorithm
    5.3. Performance Evaluation
    5.4. Performance Comparison
        5.4.1 Simulation Study
        5.4.2 Illustrative Example
    5.5. Conclusion
Chapter 6 Distribution-Free Homogeneously Weighted Moving Average Control Charts
    6.1. Introduction
    6.2. Nonparametric HWMA Control Charts
        6.2.1. The Design Structure of the Proposed NPHWMA-SN Control Chart
        6.2.2. The Design Structure of the Proposed NPHWMA-SR Control Chart
    6.3. Performance Evaluation and Comparison
        6.3.1. Algorithm
        6.3.2. NPHWMA-SN chart
        6.3.3. NPHWMA-SR chart
    6.4. Application
        6.4.1. Application of NPHWA-SN chart
        6.4.2. Application of NPHWA-SR chart
    6.5. Conclusion
Chapter 7 Discussion
    7.1. Future Recommendations
Bibliography
Publications
Acknowledgements



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