와이블 고장모형 하에서의 이중샘플링 T2 관리도의경제적-통계적 설계 (이중샘플링 T2 관리도의 경제적-통계적 설계)
Purpose: Double sampling T2 chart is a useful tool for detecting a relatively small shift in process mean when the process is controlled by multiple variables. This paper finds the optimal design of the double sampling T2 chart in both economical and statistical sense under Weibull failure model.Met...
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Published in | 품질경영학회지 Vol. 43; no. 4; pp. 471 - 487 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | Korean |
Published |
한국품질경영학회
31.12.2015
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Subjects | |
Online Access | Get full text |
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Abstract | Purpose: Double sampling T2 chart is a useful tool for detecting a relatively small shift in process mean when the process is controlled by multiple variables. This paper finds the optimal design of the double sampling T2 chart in both economical and statistical sense under Weibull failure model.Methods: The expected cost function is mathematically derived using recursive equation approach. The optimal designs are found using a genetic algorithm for numerical examples and compared to those of single sampling T2 chart. Sensitivity analysis is performed to see the parameter effects.Results: The proposed design outperforms the optimal design of the single sampling T2 chart in terms of the expected cost per unit time and Type-I error rate for all the numerical examples considered.Conclusion: Double sampling T2 chart can be designed to satisfy both economic and statistical requirements under Weibull failure model and the resulting design is better than the single sampling counterpart. |
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AbstractList | Purpose: Double sampling T2 chart is a useful tool for detecting a relatively small shift in process mean when the process is controlled by multiple variables. This paper finds the optimal design of the double sampling T2 chart in both economical and statistical sense under Weibull failure model.Methods: The expected cost function is mathematically derived using recursive equation approach. The optimal designs are found using a genetic algorithm for numerical examples and compared to those of single sampling T2 chart. Sensitivity analysis is performed to see the parameter effects.Results: The proposed design outperforms the optimal design of the single sampling T2 chart in terms of the expected cost per unit time and Type-I error rate for all the numerical examples considered.Conclusion: Double sampling T2 chart can be designed to satisfy both economic and statistical requirements under Weibull failure model and the resulting design is better than the single sampling counterpart. |
Author | 이민구 Yang Mo Seo Seong Ok Hong Min Koo Lee 홍성옥 서양모 |
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Snippet | Purpose: Double sampling T2 chart is a useful tool for detecting a relatively small shift in process mean when the process is controlled by multiple variables.... |
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SubjectTerms | Double Sampling Economic-Statistical Design T2 Control Chart Weibull Failure Model |
Title | 와이블 고장모형 하에서의 이중샘플링 T2 관리도의경제적-통계적 설계 (이중샘플링 T2 관리도의 경제적-통계적 설계) |
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