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碩士 === 國立中央大學 === 高階主管企管碩士班 === 106 === With the development of the Internet of Things, industrial applications start to promote integrated applications of Industry 4.0. The Industrial 4.0 concept was first proposed at the 2011 Hannover Industrial Fair by the German government. This concept is to us...
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ndltd-TW-106NCU056270462019-09-12T03:37:36Z http://ndltd.ncl.edu.tw/handle/7znyn9 none 自動光學檢測導入方案及其效益探討─以A電池公司為例 Chih-Wen Cheng 鄭智文 碩士 國立中央大學 高階主管企管碩士班 106 With the development of the Internet of Things, industrial applications start to promote integrated applications of Industry 4.0. The Industrial 4.0 concept was first proposed at the 2011 Hannover Industrial Fair by the German government. This concept is to use IOT technology and help the traditional manufacturing transformed into a smart factory. In the past, traditional manufacturing focus on innovation, which was to create differentiation and focus on the goals of cost, quality, production capacity, delivery, etc. However, the market now is customized products. The delivery process must be quickly adjusted and customized. Therefore, the manufacturing needs to have a good ability to adapt by use the data collection and analysis. Based on the Big Data application, it will develop a new business model and transform into a smart factory. The thesis is mainly concerned with the surface defect issue of the battery. It proposed the automatic optical inspection system to replace the manual detection and also provides high-precision, fast, and low-cost production processes. Not only improve product yield rate and digitize the quality control standards none none 黃同圳 呂俊德 2018 學位論文 ; thesis 61 zh-TW |
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碩士 === 國立中央大學 === 高階主管企管碩士班 === 106 === With the development of the Internet of Things, industrial applications start to promote integrated applications of Industry 4.0. The Industrial 4.0 concept was first proposed at the 2011 Hannover Industrial Fair by the German government. This concept is to use IOT technology and help the traditional manufacturing transformed into a smart factory.
In the past, traditional manufacturing focus on innovation, which was to create differentiation and focus on the goals of cost, quality, production capacity, delivery, etc.
However, the market now is customized products. The delivery process must be quickly adjusted and customized. Therefore, the manufacturing needs to have a good ability to adapt by use the data collection and analysis. Based on the Big Data application, it will develop a new business model and transform into a smart factory.
The thesis is mainly concerned with the surface defect issue of the battery. It proposed the automatic optical inspection system to replace the manual detection and also provides high-precision, fast, and low-cost production processes. Not only improve product yield rate and digitize the quality control standards
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Chih-Wen Cheng 鄭智文 |
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Chih-Wen Cheng 鄭智文 none |
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Chih-Wen Cheng |
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http://ndltd.ncl.edu.tw/handle/7znyn9 |
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AT chihwencheng none AT zhèngzhìwén none AT chihwencheng zìdòngguāngxuéjiǎncèdǎorùfāngànjíqíxiàoyìtàntǎoyǐadiànchígōngsīwèilì AT zhèngzhìwén zìdòngguāngxuéjiǎncèdǎorùfāngànjíqíxiàoyìtàntǎoyǐadiànchígōngsīwèilì |
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