Design LED Statistical Process Control Based on the Manufacturing Execution System
碩士 === 元智大學 === 工業工程與管理學系 === 96 === With the emerging global production-and-marketing supply chain, Taiwan plays a key role in the global supply chain; to match the international standards, the industries in Taiwan have become to introduce the statistical process control (SPC) for the advancement o...
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ndltd-TW-096YZU050310432015-10-13T13:48:21Z http://ndltd.ncl.edu.tw/handle/37484454302179379461 Design LED Statistical Process Control Based on the Manufacturing Execution System 以現場即時資訊系統為基礎建構LED統計製程管制 Yi-Hua Chang 張宜樺 碩士 元智大學 工業工程與管理學系 96 With the emerging global production-and-marketing supply chain, Taiwan plays a key role in the global supply chain; to match the international standards, the industries in Taiwan have become to introduce the statistical process control (SPC) for the advancement of core competitiveness and accordingly anticipate that it may promote greatly the quality standard and lower the cost outgoing due to the bad quality at the same time. To meet the global competition, the current LED products are urged to be produced before the problems which should have been resolved are resolved during the design phase; moreover, the manufacturing quality depends on the quality control to select the products with failures and abnormalities. Consequently, it fails to build a complete failure mode and effects analysis (FMEA) for the early LED-product process management aiming at monitoring key features of the process. This paper attempts to locate the influential key features of the process in LED crystalline grain plants through employing FMEA and design of experiments (DOE) and thereupon builds SPC via data feedback of manufacturing execution system; furthermore, it expects to establish a set of methods and processes of process improvement. Pei-Chann Chang 張百棧 2008 學位論文 ; thesis 100 zh-TW |
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Others
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碩士 === 元智大學 === 工業工程與管理學系 === 96 === With the emerging global production-and-marketing supply chain, Taiwan plays a key role in the global supply chain; to match the international standards, the industries in Taiwan have become to introduce the statistical process control (SPC) for the advancement of core competitiveness and accordingly anticipate that it may promote greatly the quality standard and lower the cost outgoing due to the bad quality at the same time.
To meet the global competition, the current LED products are urged to be produced before the problems which should have been resolved are resolved during the design phase; moreover, the manufacturing quality depends on the quality control to select the products with failures and abnormalities. Consequently, it fails to build a complete failure mode and effects analysis (FMEA) for the early LED-product process management aiming at monitoring key features of the process.
This paper attempts to locate the influential key features of the process in LED crystalline grain plants through employing FMEA and design of experiments (DOE) and thereupon builds SPC via data feedback of manufacturing execution system; furthermore, it expects to establish a set of methods and processes of process improvement.
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author2 |
Pei-Chann Chang |
author_facet |
Pei-Chann Chang Yi-Hua Chang 張宜樺 |
author |
Yi-Hua Chang 張宜樺 |
spellingShingle |
Yi-Hua Chang 張宜樺 Design LED Statistical Process Control Based on the Manufacturing Execution System |
author_sort |
Yi-Hua Chang |
title |
Design LED Statistical Process Control Based on the Manufacturing Execution System |
title_short |
Design LED Statistical Process Control Based on the Manufacturing Execution System |
title_full |
Design LED Statistical Process Control Based on the Manufacturing Execution System |
title_fullStr |
Design LED Statistical Process Control Based on the Manufacturing Execution System |
title_full_unstemmed |
Design LED Statistical Process Control Based on the Manufacturing Execution System |
title_sort |
design led statistical process control based on the manufacturing execution system |
publishDate |
2008 |
url |
http://ndltd.ncl.edu.tw/handle/37484454302179379461 |
work_keys_str_mv |
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