The Lower Confidence Limit on Process Capability Index SPK

碩士 === 國立勤益技術學院 === 工業工程與管理系 === 93 === Quality index, SPK, holding one-to-one mathematical relationship with the process yield, can not only evaluate the capability but also reflect the yield of a process. Because the distribution function of the estimator of index SPK is quite complex, it is diffi...

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Main Authors: yao ting wang, 王耀廷
Other Authors: K.S.Chen
Format: Others
Language:zh-TW
Published: 2005
Online Access:http://ndltd.ncl.edu.tw/handle/05921307478958158005
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spelling ndltd-TW-093NCIT01170022015-12-25T04:10:28Z http://ndltd.ncl.edu.tw/handle/05921307478958158005 The Lower Confidence Limit on Process Capability Index SPK 製程能力指標SPK的信賴下限 yao ting wang 王耀廷 碩士 國立勤益技術學院 工業工程與管理系 93 Quality index, SPK, holding one-to-one mathematical relationship with the process yield, can not only evaluate the capability but also reflect the yield of a process. Because the distribution function of the estimator of index SPK is quite complex, it is difficult to infer it’s lower confidence limit. Since the errors induced from sampling, it is not objective to use only the point estimation of the index to evaluate a process quality. Because the index SPK is the function of unilateral specification indices CPU and CPL, this paper will derive the lower confidence limit of index SPK form the lower confidence limit of indices CPU and CPL, and utilize the Monte Carlo simulation approach to evaluate the coverage percentage in order to verify the accuracy of this new approach. With the lower confidence limit of index SPK, the manufacturing industry can use it to evaluate or test whether toe quality meets the preset demands. K.S.Chen S.L.Liau 陳坤盛 廖士榮 2005 學位論文 ; thesis 33 zh-TW
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language zh-TW
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description 碩士 === 國立勤益技術學院 === 工業工程與管理系 === 93 === Quality index, SPK, holding one-to-one mathematical relationship with the process yield, can not only evaluate the capability but also reflect the yield of a process. Because the distribution function of the estimator of index SPK is quite complex, it is difficult to infer it’s lower confidence limit. Since the errors induced from sampling, it is not objective to use only the point estimation of the index to evaluate a process quality. Because the index SPK is the function of unilateral specification indices CPU and CPL, this paper will derive the lower confidence limit of index SPK form the lower confidence limit of indices CPU and CPL, and utilize the Monte Carlo simulation approach to evaluate the coverage percentage in order to verify the accuracy of this new approach. With the lower confidence limit of index SPK, the manufacturing industry can use it to evaluate or test whether toe quality meets the preset demands.
author2 K.S.Chen
author_facet K.S.Chen
yao ting wang
王耀廷
author yao ting wang
王耀廷
spellingShingle yao ting wang
王耀廷
The Lower Confidence Limit on Process Capability Index SPK
author_sort yao ting wang
title The Lower Confidence Limit on Process Capability Index SPK
title_short The Lower Confidence Limit on Process Capability Index SPK
title_full The Lower Confidence Limit on Process Capability Index SPK
title_fullStr The Lower Confidence Limit on Process Capability Index SPK
title_full_unstemmed The Lower Confidence Limit on Process Capability Index SPK
title_sort lower confidence limit on process capability index spk
publishDate 2005
url http://ndltd.ncl.edu.tw/handle/05921307478958158005
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