Accuracy Analysis of the Estimated Process capability Indices
碩士 === 國立交通大學 === 工業工程與管理系 === 88 === The process capability indices have been widely used in the manufacturing industry to provide numerical measures on process performance. The most useful four indices are Cp, Cpk, Cpm, and Cpmk. They combine two important factors- process spread and process cen...
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ndltd-TW-088NCTU00310262015-10-13T10:59:52Z http://ndltd.ncl.edu.tw/handle/22236157890965967152 Accuracy Analysis of the Estimated Process capability Indices 製程能力指標估計式的準確度評估 Tung Kuan 管彤 碩士 國立交通大學 工業工程與管理系 88 The process capability indices have been widely used in the manufacturing industry to provide numerical measures on process performance. The most useful four indices are Cp, Cpk, Cpm, and Cpmk. They combine two important factors- process spread and process centering in one number and make it easy to judge whether a process is acceptable. In this research the statistical properties of the four natural estimated indices will be presented, and the accuracy analysis of the estimated indices will be analyzed by the computational results using relative bias (BIASR), relative mean square error (MSER), and -level confidence relative error (CRER). The computational results are tabled, and the investigation is useful to the practitioners in determining the sample sizes required in their applications for the estimations good to the desired accuracy. W. L. Pearn C. Y. tai 彭文理 戴久永 2000 學位論文 ; thesis 77 en_US |
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碩士 === 國立交通大學 === 工業工程與管理系 === 88 === The process capability indices have been widely used in the manufacturing industry to provide numerical measures on process performance. The most useful four indices are Cp, Cpk, Cpm, and Cpmk. They combine two important factors- process spread and process centering in one number and make it easy to judge whether a process is acceptable. In this research the statistical properties of the four natural estimated indices will be presented, and the accuracy analysis of the estimated indices will be analyzed by the computational results using relative bias (BIASR), relative mean square error (MSER), and -level confidence relative error (CRER). The computational results are tabled, and the investigation is useful to the practitioners in determining the sample sizes required in their applications for the estimations good to the desired accuracy.
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W. L. Pearn |
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W. L. Pearn Tung Kuan 管彤 |
author |
Tung Kuan 管彤 |
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Tung Kuan 管彤 Accuracy Analysis of the Estimated Process capability Indices |
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Tung Kuan |
title |
Accuracy Analysis of the Estimated Process capability Indices |
title_short |
Accuracy Analysis of the Estimated Process capability Indices |
title_full |
Accuracy Analysis of the Estimated Process capability Indices |
title_fullStr |
Accuracy Analysis of the Estimated Process capability Indices |
title_full_unstemmed |
Accuracy Analysis of the Estimated Process capability Indices |
title_sort |
accuracy analysis of the estimated process capability indices |
publishDate |
2000 |
url |
http://ndltd.ncl.edu.tw/handle/22236157890965967152 |
work_keys_str_mv |
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