English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 109952/140887 (78%)
Visitors : 46291434      Online Users : 1499
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/128998


    Title: 論SCADA系統在工業4.0推廣過程的發展與瓶頸之分析
    Analysis of Development and Challenges for SCADA in Industry 4.0
    Authors: 夏崇軒
    Hsia, Tsung-Hsuan
    Contributors: 陳立民
    夏崇軒
    Hsia, Tsung-Hsuan
    Keywords: 工業4.0
    五力分析
    Industry 4.0
    SCADA
    Five Competitive Force
    Date: 2020
    Issue Date: 2020-03-02 11:39:18 (UTC+8)
    Abstract: 隨著演算法的精進,大數據的整理,物理量的蒐集過程持續改善,製造業長久以來的控制模式逐漸被顛覆,而面對新技術的演進慢慢出現工業4.0 的概念,而這議題再次成為各國政府針對產業輔導時所選用的一個方向。
    台灣以製造業起家,以電子代工業提升經濟狀況,半導體製造楊名全球,在實際製造的工廠端,每個工廠的大腦-中央控制室內都透過資料採集與監控系統(supervisory control and data acquisition,SCADA)在進行底層物理量的蒐集與監視控制的自動化控制功能,而工業4.0 的核心:工廠、營運、產品很大程度上都會透過SCADA系統來進行資訊的傳遞。本研究主要從自動化控制產業中的SCADA 系統在半導體產業中的轉型進行分析,其探討的議題如下:

    1. 探討標竿企業在推廣工業4.0的做法上有哪些可作為這產業追隨者的借鏡
    2. 探討標竿企業在該領域上該如何突破成長的瓶頸

    本研究經由選擇在台灣提供工業4.0解決方案的標竿企業與追隨企業的五間公司進行深度訪談,並就議題分析得到以下結論:標竿企業因為歷史悠久進入台灣時間也長,全球累積豐富的工程經驗與技術能提供工業4.0中的智慧工廠完整解決方案,並實際建立工業4.0示範工廠展示其能力。夠過經銷模式來增加價格與服務上的彈性,及早發現全球趨勢且持續併購與提升技術能力擴大服務範圍,得以保持在工業4.0趨勢下的成長,避免被淘汰。
    With the improvement of algorithms, the consolidation of big data, and the continuous collection of physical signals, the methodology of control of the manufacturing industry has been changed, and the concept of Industry 4.0 has gradually emerged, and becomes one direction chosen by governments for industrial counselling.
    Taiwan, in the past, has grown the economic situation with electronics and manufacturing, Taiwan’s Semiconductor manufacturing then is well-known throughout the world. At the actual manufacturing factories, the central control room of each factory uses supervisory control and data acquisition systems, SCADA, performs the automatic control functions of collecting and monitoring the underlying physical quantities, while the core of Industry 4.0: factories, operations, and products will largely transfer information through the SCADA system. This research analyzes the transformation of SCADA system in the field of automation control in the semiconductor industry. The topics discussed are as follows:

    1. Understand what benchmarking companies can do to promote Industry 4.0 as a role models for followers
    2. Understand how benchmarking companies can overcome bottlenecks in this area

    After conducting interviews with selected companies that provide Industry 4.0 solutions in Taiwan, the following conclusions are:
    1. Benchmarking companies have long history of global references and have been equipped with first-mover advantage in Taiwan because of entering more than 50 years.
    2. Built smart factory to show the advantages and concept of Industry 4.0 to be more competitive.
    3. By using channels/distributions instead of direct business with end users to allow greater flexibility in price negotiation and terms and contions of contracts.
    4. Identify global trends early and expand service coverage and capabilities through M & A and own development capabilities.
    Reference: 英文部分
    1. Dyer, J. H., & Singh, H. (1998). The relational view: Cooperative strategy and sources of interorganizational competitive advantage. Academy of management review, 23(4), 660-679.
    2. Giusto, D., Iera, A., Morabito, G., & Atzori, L. (Eds.). (2010). The internet of things: 20th Tyrrhenian workshop on digital communications. Springer Science & Business Media.
    3. Grant, R. M. (2005). Contemporary Strategy Analysis: Concepts, Techniques, Applications.
    4. Grove, A. S. (1996). Only the paranoid survive: How to exploit the crisis points that challenge every company and career. Broadway Business.
    5. Igure, V. M., Laughter, S. A., & Williams, R. D. (2006). Security issues in SCADA networks. computers & security, 25(7), 498-506.
    6. Kagermann, H., Helbig, J., Hellinger, A., & Wahlster, W. (2013). Recommendations for implementing the strategic initiative INDUSTRIE 4.0: Securing the future of German manufacturing industry; final report of the Industrie 4.0 Working Group. Forschungsunion.
    7. Karagiannopoulos, G. D., Georgopoulos, N., & Nikolopoulos, K. (2005). Fathoming Porter`s five forces model in the internet era. info, 7(6), 66-76.
    8. Lasi, H., Fettke, P., Kemper, H. G., Feld, T., & Hoffmann, M. (2014). Industry 4.0. Business & information systems engineering, 6(4), 239-242.
    9. Lee, E. A. (2008, May). Cyber physical systems: Design challenges. In 2008 11th IEEE International Symposium on Object and Component-Oriented Real-Time Distributed Computing (ISORC) (pp. 363-369). IEEE.
    10. M Rogers, E. (1983). Diffusion of innovations.
    11. Panetta, K. (2016). Gartner’s top 10 strategic technology trends for 2017. Smarter with Gartner.
    12. Porter Michael E. (1980) “Competitive strategy: Techniques for analyzing industries and competition.” New York 300.
    13. Porter, M. E. (2008). The five competitive forces that shape strategy. Harvard business review, 86(1), 25-40.
    14. Porter, M. E., & Heppelmann, J. E. (2015). How smart, connected products are transforming companies. Harvard Business Review, 93(10), 96-114.
    15. Richard, A., & Aveni, D. (1994). Hypercompetitive Rivalries: Competing in highly dynamic environment.
    16. Sauter, T., & Schwaiger, C. (2002). Achievement of secure Internet access to fieldbus systems. Microprocessors and Microsystems, 26(7), 331-339.
    17. Schwaiger, C., & Treytl, A. (2003, September). Smart card based security for fieldbus systems. In EFTA 2003. 2003 IEEE Conference on Emerging Technologies and Factory Automation. Proceedings (Cat. No. 03TH8696) (Vol. 1, pp. 398-406). IEEE.
    18. Sheehan, N. T. (2005). Why old tools won`t work in the “new” knowledge economy. Journal of Business Strategy, 26(4), 53-60.
    19. Stock, T., & Seliger, G. (2016). Opportunities of sustainable manufacturing in industry 4.0. Procedia Cirp, 40, 536-541.
    20. Stonehouse, G., & Snowdon, B. (2007). Competitive advantage revisited: Michael Porter on strategy and competitiveness. Journal of Management Inquiry, 16(3), 256-273.
    21. Stouffer, K., Falco, J., & Kent, K. (2006). Guide to Supervisory Control and Data Acquisition (SCADA) and industrial control systems security–initial public draft. National Institute of Standards and Technology, Gaithersburg, Maryland, 2-7.
    22. Stouffer, K., Falco, J., & Scarfone, K. (2011). Guide to industrial control systems (ICS) security. NIST special publication, 800(82), 16-16.


    中文部分
    1. 文崇一、楊國樞. (2000). 訪問調查法. 社會及行為科學研究法下冊. 台北:東華.
    2. 方千碩. (2017). 紅色供應鏈崛起對台灣半導體產業之影響 (Doctoral dissertation, 方千碩).
    3. 王怡惠. (2015). 從工業 4.0 看我國生產力 4.0 之挑戰. 臺灣經濟研究月刊, 38(8), 111-119.
    4. 王家寧. (2011). 我國出境游產業發展態勢分析: 波特五力模型的視角. 河北企業, (7), 43-44.
    5. 王静, & 李静. (2012). 基於波特五力模型的中式快餐業戰略選擇. 商品與質量: 理論研究, (4), 46-46.
    6. 王静愛, 何春陽, 董艷春, 高玲, & 徐偉. (2002). 北京城鄉過度區土地利用變化驅動力分析 (Doctoral dissertation).
    7. 朱倩, & 李恒. (2012). 公立醫院内部控制體系構建——基於波特 “五力模型” 的思考. 財會通讯: 综合 (中), (8), 93-95.
    8. 李傑、倪軍、王安正. (2017). 《從大數據到智慧生產與服務創新》. 台北市:前程文化.
    9. 李傑. (2016). 《工業大數據 工業4.0時代的智慧轉型與價值創新》. 台北市:天下雜誌.
    10. 汪建南、馬雲龍. (2016). 工業4.0的國家發展趨勢與臺灣因應之道. 國際金融參考資料第六十九輯.
    11. 房昌琳. (2007). 基於波特五力模型分析的企業發展策略討論——以果汁飲料行業為例. 企業經濟, (8), 64-66.
    12. 韋康博. (2015). 《工業4.0 從製造到「智」造業,下一波產業革命如何顛覆全世界?》. 台北市:商周.
    13. 張金霞. (2011). 基於波特五力模型的養生旅遊市場分析. 企業報導, (10), 111-112.
    14. 陳婉儀主編. (2017). 2017台灣半導體產業年鑑. 台北市:工業技術研究院電子工業研究所.
    15. 陶婷婷, & 蔣學華. (2009). 運用 “波特五力模型” 分析我國醫藥企業的發展戰略 (Doctoral dissertation).
    16. 黄佩红, 徐蘭君, & 蔡光榮. (2015). 基於波特五力模型的廣州汽車產業競爭力分析. 汽車工業研究, (5), 23-25.
    17. 萬文隆. (2004). 深度訪談在質性研究中的應用. 生活科技教育月刊.
    18. 劉靜頤, & 邸召强. (2011). 應用波特五力模型分析電力設計行業競爭現況. 中國集體經濟, (4X), 96-96.
    19. 鄭川. (2014). 中國乳製品行業競爭格局分析——基於波特五力分析模型的研究. 中國西部, (30), 110-114.
    20. 羅小青, & 王菲. (2009). 基於五力模型的陕西省旅游產業優化分析. 知識經濟, (9X), 119-119.
    Description: 碩士
    國立政治大學
    企業管理研究所(MBA學位學程)
    106363044
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0106363044
    Data Type: thesis
    DOI: 10.6814/NCCU202000122
    Appears in Collections:[企業管理研究所(MBA學位學程)] 學位論文

    Files in This Item:

    File SizeFormat
    304401.pdf871KbAdobe PDF2525View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,惟仍請適度,合理使用本網站之內容,以尊重著作權人之權益。商業上之利用,則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作,已盡力防止侵害著作權人之權益,如仍發現本網站之數位內容有侵害著作權人權益情事者,請權利人通知本網站維護人員(nccur@nccu.edu.tw),維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback