研究生: |
黃育森 Huang, Yu-Sheng |
---|---|
論文名稱: |
傳統塑膠注塑產業的物聯網應用-以 T 公司為例 IoT Applications and Practices in the Plastic Injection Industry – The Case of T Company in Shenzhen |
指導教授: |
胡美智
Hu, Mei-Zhi |
口試委員: |
李傳楷
Lee, Chuan-Kai 陳寶蓮 Chen, Bao-Lian 林正士 Lin, Zheng-Shi 蔡亮 Cai, Liang |
學位類別: |
碩士 Master |
系所名稱: |
科技管理學院 - 高階經營管理深圳境外碩士在職專班 Executive Master of Business Administration in Shenzhen |
論文出版年: | 2021 |
畢業學年度: | 109 |
語文別: | 中文 |
論文頁數: | 38 |
中文關鍵詞: | 物聯網 、工業 4.0 、智能工廠 、生產數位化 、塑膠注塑產業 |
外文關鍵詞: | Internet of Things (IoT), Industry 4.0, Smart Factory, Digitalized Production, Plastic Injection Industry |
相關次數: | 點閱:3 下載:0 |
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本研究探討工業 4.0 的物聯網應用對傳統塑膠注塑(射出)產業的影響。台商投資大陸製造業已經進入成熟階段,2020 年開始中國開始轉向國內大循環為主軸, 加大促進內需,並且以科技創新、綠色環保為其主要發展方向。傳統製造業也需 升級,加入互聯網、物聯網、大數據整合的智能生產概念,系統化處理分析生產 動態實時數據以升級為智能工廠。本文以實務文獻為導向,探討物聯網的起源, 採用行動研究方法,並結合波特鑽石理論模型與 SWOT 理論分析。筆者自身處於 傳統電子注塑產業個案 T 公司,探討個案公司如何採用物聯網技術及該新技術的採用對產品品質升級產生什麼傳統產業管理與經營上的影響。研究結果顯示,物 聯網的應用能降低人力與物力的消耗,尤其在疫情期間更發揮其重要性,使生產 經驗數位化,公司能藉由物聯網的大數據自我深度學習,邁向智能工廠,使得產 品生命週期越來越短的電子產業能保持獲利成長並滿足客戶交期要求的良性循環; 但在升級過程中,技術人才、職能轉換培訓、企業文化等也需要作同步調整,方 能有利於企業的永續發展與經營。
This study explores the impact of IoT (Internet of Things) applications on the traditional plastic injection (molding) industry amid the industry 4.0 promotion. Taiwan's investment in the Mainland China's manufacturing industry has entered a mature stage. Starting from 2020, China had begun to turn to the domestic circulation as its main development direction by increasing the promotion of domestic demand, and take scientific, technological innovation and green environmental protection as its main development direction. The traditional manufacturing industry also needs to be upgraded by adding the smart production elements via the Internet, IoT and big database integration with the goal to systematically process and analyze the dynamic and real-time production data to upgrade itself into a smart factory. This paper, guided by practical literature, explores the origin of the IoT, adopts an action research approach, and combines Porter's diamond theory model and SWOT theory analysis. The author's case of traditional electronic injection industry, T Company, discusses how the case company applies the IoT technology and what impact the practices of the new technology has on the product quality, management and operation in traditional industry. The results show that the application of IoT could reduce the consumption of manpower and material resources especially during the Covid-19 pandemic crisis where its importance could be observed more evidently. Digitalized production experiences allow company to make deep learning by itself via the big data from IoT and move forward to the smart factory goal. In this case, company could ensure to keep making profit growth and satisfy the customer delivery demand within this more and more shorter life cycle at electronic industry and finally achieve the positive industrial cycle. However, during the
industry upgrading, the technical talents, career changing training, and company
culture…, etc, need also be adjusted simultaneouly in order to benefit on the sustainable development and operation of the company.
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