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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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Main Authors: Chih-Wen Cheng, 鄭智文
Other Authors: none
Format: Others
Language:zh-TW
Published: 2018
Online Access:http://ndltd.ncl.edu.tw/handle/7znyn9
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spelling 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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description 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
author2 none
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Chih-Wen Cheng
鄭智文
author Chih-Wen Cheng
鄭智文
spellingShingle Chih-Wen Cheng
鄭智文
none
author_sort Chih-Wen Cheng
title none
title_short none
title_full none
title_fullStr none
title_full_unstemmed none
title_sort none
publishDate 2018
url http://ndltd.ncl.edu.tw/handle/7znyn9
work_keys_str_mv AT chihwencheng none
AT zhèngzhìwén none
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AT zhèngzhìwén zìdòngguāngxuéjiǎncèdǎorùfāngànjíqíxiàoyìtàntǎoyǐadiànchígōngsīwèilì
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