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題名 工業4.0下的即時機台管理
The Real-time Machine Managements in Industry 4.0作者 李祐安
Lee, Yu-An貢獻者 吳安妮<br>羅明琇
李祐安
Lee, Yu-An關鍵詞 工業4.0
智慧製造
數位轉型
機台管理
Industry 4.0
Smart manufacturing
Digital transformation
Machine managements日期 2021 上傳時間 4-八月-2021 16:36:50 (UTC+8) 摘要 面對工業4.0的浪潮，許多企業面臨數位轉型之議題。臺灣以製造業起家，已經在許多產業及領域累積競爭優勢，然而，如今卻面臨勞動人口降低、企業機台老舊，且難以適應現今多變的市場需求等問題。臺灣微型製造企業在資源有限的情況下，應該如何面對工業4.0相關議題，以及如何有效實行智慧製造數位轉型，跨出轉型的第一步，為現階段相當重要之議題。因此，本研究結合工業4.0、製造執行系統及作業價值管理系統之概念，擬定出在臺灣微型製造企業在導入系統時可能面臨之困難，並且以機台為核心，提出解決方案，協助這些企業跨出智慧製造數位轉型的第一步，並且提前布局。
With the advent of Industry 4.0, many companies are facing the issue of digital transformation. The manufacturing industry plays an important role in Taiwan`s economy. Lots of enterprises have accumulated competitive advantages in many fields and industries. However, these companies are facing a drastic decrease in the labor force in Taiwan, having problems with old machines in the factory, and difficulty adapting to the changing market demands. In the condition of limited resources, Taiwanese micro-manufacturing enterprises confront with how to effectively implement the digital transformation of smart manufacturing and what the first step of the transformation.Therefore, this research combines the concept of Industry 4.0, Manufacturing Execution System, and Activity Value Management System; draws up the difficulties when enterprises introduce systems; and proposes solutions focusing on machine management to let Taiwanese micro-manufacturing enterprises transform more smoothly and make a plan on transformations.參考文獻 中文部分王偉鴻、李永正、劉翰璋 (2019)。我國製造業數位轉型的挑戰與政策精進建議。臺灣經濟研究月刊，第10期：13-20吳安妮 (2015)。管理會計技術商品化：以ABC為核心之作業價值管理系統(AVMS)為例，會計研究月刊，第359期：20-24。吳安妮 (2021)。企業策略的終極答案：用「作業價值管理AVM」破除成本迷思，掌握正確因果資訊，做對決策賺到管理財(最新修訂版)。台北：臉譜出版社。林上育 (2017)。工業4.0與作業價值管理(AVM)之結合，國立政治大學會計學系碩士論文。蘇仕豪 (2018)。工業4.0之發展模式與關鍵成功因素分析，國立政治大學企業管 理學系碩士論文李亦晴 (2021)。觀察臺灣製造業談數位轉型的契機，上網日期110年06月23日，檢自，https://mic.iii.org.tw/industry.aspx?id= 409&list=5行政院全球資訊網 (2015)。行政院生產力4.0發展方案，上網日期110年04月26日，檢自，https://www.ey.gov.tw/Advanced_Search.aspx=%E7%94%9F%E7%94%A2%E5%8A%9B4.0產業價值鏈資訊平台 (2020)。連接器產業鏈簡介，上網日期110年03月25日，檢自，https://ic.tpex.org.tw/introduce.php?ic=K000賀桂芬、熊毅晰 (2020)。天下雜誌665期，工業4.0要做好、做滿？9張圖看見臺灣企業數位轉型的痛點，上網日期110年02月21日，檢自，https://www.cw.com.tw/article/5093723?template=transformersEli Tidhar, Jeremy Siegman, Dan Paikowsky (2018)。工業4.0新戰略與發展路徑，上網日期110年06月10日，檢自，https://www2.deloitte.com/content/dam/Deloitte/tw/Documents/energy-resources/tw-2019-industry-report.pdf英文部分Akkermans, H. A., Bogerd, P., Yücesan, E. & Van Wassenhove, L. N. (2003). The impact of ERP on supply chain management: Exploratory findings from a European Delphi study. European Journal of operational research, 146(2), 284-301.Braglia, M., Frosolini, M. & Zammori, F. (2009). Overall equipment effectiveness of a manufacturing line (OEEML): an integrated approach to assess systems performance. Journal of Manufacturing Technology Management, 20(1), 8-29.Büchi, G., Cugno, M. & Castagnoli, R. (2020). Smart factory performance and Industry 4.0. Technological Forecasting and Social Change, 150, 119790.Chryssolouris, G., Mavriios, D., Papakostas, N., Mourtzis, D., Michalos, G. & Georgoulias, K. (2009). Digital manufacturing: history, perspectives, and outlook. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 223(5), 451-462.Ehret, M. & Wirtz, J. (2017). Unlocking value from machines: business models and the industrial internet of things. Journal of Marketing Management, 33(1-2), 111-130.Fleisch, E., Weinberger, M. & Wortmann, F. (2014). Geschäftsmodelle im Internet der Dinge. HMD Praxis der Wirtschaftsinformatik, 51(6), 812-826.Helo, P., Suorsa, M., Hao, Y. & Anussornnitisarn, P. (2014). Toward a cloud-based manufacturing execution system for distributed manufacturing. Computers in Industry, 65(4), 646-656.Hermann, M., Pentek, T. & Otto, B. (2016, January). Design principles for industrie 4.0 scenarios. Paper presented at the 49th Hawaii International Conference on System Sciences, Koloa.Hwang, J. N. (2011, October). Distributed and centralized information management of wireless smart camera networks. Paper presented at the 14th ACMInternational Conference Modeling, Analysis and Simulation of Wireless and Mobile System, Miami.Ibarra, D., Ganzarain, J. & Igartua, J. I. (2018). Business model innovation through Industry 4.0: A review. Procedia Manufacturing, 22, 4-10.Iivari, M. M., Ahokangas, P., Komi, M., Tihinen, M. & Valtanen, K. (2016). Toward ecosystemic business models in the context of industrial internet. Journal of Business Models, 4(2), 42-59.Jacobs, F. R. (2007). Enterprise resource planning (ERP)—A brief history. Journal of operations management, 25(2), 357-363.Lee, J., Kao, H. A. & Yang, S. (2014). Service innovation and smart analytics for industry 4.0 and big data environment. Procedia Cirp, 16, 3-8.Liao, Y., Deschamps, F., Loures, E. D. F. R. & Ramos, L. F. P. (2017). Past, present and future of Industry 4.0-a systematic literature review and research agenda proposal. International journal of production research, 55(12), 3609-3629.Liu, F. & Miao, Z.(2006, November). The application of RFID technology in production control in the discrete manufacturing industry. Paper presented at the International Conference on Video and Signal Based Surveillance, Sydney.Mantravadi, S. & Møller, C. (2019). An overview of next-generation manufacturing execution systems: How important is MES for industry 4.0 ?. Procedia manufacturing, 30, 588-595.Maslarić, M., Nikoličić, S. & Mirčetić, D. (2016). Logistics response to the industry 4.0: the physical internet. Open engineering, 6(1),511-517.McCLELLAN, M. (2001, June). Introduction to manufacturing execution systems. Paper present at the MES Conference & Exposition, Baltimore.Menezes, S., Creado, S. & Zhong, R. Y. (2018). Smart manufacturing execution systems for small and medium-sized enterprises. Procedia CIRP, 72, 1009-1014.Reischauer, G. (2018). Industry 4.0 as policy-driven discourse to institutionalize innovation systems in manufacturing. Technological Forecasting and Social Change, 132, 26-33.Rüßmann, M., Lorenz, M., Gerbert, P., Waldner, M., Justus, J., Engel, P. & Harnisch, M. (2015). Industry 4.0: The future of productivity and growth in manufacturing industries. Boston Consulting Group, 9(1), 54-89.Thoben, K. D., Wiesner, S. & Wuest, T. (2017). “Industrie 4.0” and smart manufacturing-a review of research issues and application examples. International journal of automation technology, 11(1), 4-16.Vaidya, S., Ambad, P. & Bhosle, S. (2018). Industry 4.0–a glimpse. Procedia manufacturing, 20, 233-238.Yin, R. K. (1994). Case study research: Design and methods, applied social research. Methods series, 5.Yin, Y. (2018). Fund Portfolio Holdings and Affiliated Analyst`s Objectivity: Do Equity and Employment Relationship Matter?. Journal of Behavioral Finance, 19(1), 16-29.Zhong, R. Y., Xu, X. & Wang, L. (2017). IoT-enabled smart factory visibility and traceability using laser-scanners. Procedia Manufacturing, 10, 1-14. 描述 碩士
國立政治大學
企業管理研究所(MBA學位學程)
108363065資料來源 http://thesis.lib.nccu.edu.tw/record/#G0108363065 資料類型 thesis dc.contributor.advisor 吳安妮<br>羅明琇 zh_TW dc.contributor.author (作者) 李祐安 zh_TW dc.contributor.author (作者) Lee, Yu-An en_US dc.creator (作者) 李祐安 zh_TW dc.creator (作者) Lee, Yu-An en_US dc.date (日期) 2021 en_US dc.date.accessioned 4-八月-2021 16:36:50 (UTC+8) - dc.date.available 4-八月-2021 16:36:50 (UTC+8) - dc.date.issued (上傳時間) 4-八月-2021 16:36:50 (UTC+8) - dc.identifier (其他 識別碼) G0108363065 en_US dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/136725 - dc.description (描述) 碩士 zh_TW dc.description (描述) 國立政治大學 zh_TW dc.description (描述) 企業管理研究所(MBA學位學程) zh_TW dc.description (描述) 108363065 zh_TW dc.description.abstract (摘要) 面對工業4.0的浪潮，許多企業面臨數位轉型之議題。臺灣以製造業起家，已經在許多產業及領域累積競爭優勢，然而，如今卻面臨勞動人口降低、企業機台老舊，且難以適應現今多變的市場需求等問題。臺灣微型製造企業在資源有限的情況下，應該如何面對工業4.0相關議題，以及如何有效實行智慧製造數位轉型，跨出轉型的第一步，為現階段相當重要之議題。因此，本研究結合工業4.0、製造執行系統及作業價值管理系統之概念，擬定出在臺灣微型製造企業在導入系統時可能面臨之困難，並且以機台為核心，提出解決方案，協助這些企業跨出智慧製造數位轉型的第一步，並且提前布局。 zh_TW dc.description.abstract (摘要) With the advent of Industry 4.0, many companies are facing the issue of digital transformation. The manufacturing industry plays an important role in Taiwan`s economy. Lots of enterprises have accumulated competitive advantages in many fields and industries. However, these companies are facing a drastic decrease in the labor force in Taiwan, having problems with old machines in the factory, and difficulty adapting to the changing market demands. In the condition of limited resources, Taiwanese micro-manufacturing enterprises confront with how to effectively implement the digital transformation of smart manufacturing and what the first step of the transformation.Therefore, this research combines the concept of Industry 4.0, Manufacturing Execution System, and Activity Value Management System; draws up the difficulties when enterprises introduce systems; and proposes solutions focusing on machine management to let Taiwanese micro-manufacturing enterprises transform more smoothly and make a plan on transformations. en_US dc.description.tableofcontents 第壹章 緒論 P.1第一節 研究動機與目的 P.1第二節 研究問題 P.2第三節 研究架構 P.5第貳章 文獻探討 P.7第一節 工業4.0下智慧製造技術與特色 P.7第二節 製造執行系統 P.20第三節 工業4.0下微型製造業的即時機台管理 P.28第四節 本研究之延伸 P.36第參章 研究方法 P.40第一節 個案研究法 P.40第二節 研究流程 P.41第肆章 臺灣製造業產業環境以及個案公司介紹 P.44第一節 臺灣製造業產業環境介紹 P.44第二節 個案公司介紹 P.47第伍章 個案分析-個案公司之機台管理以沖壓廠為例 P.50第一節 個案公司追求工業4.0之執行原因及步驟 P.50第二節 個案公司在追求工業4.0所面臨之挑戰及配套措施 P.53第三節 個案公司追求工業4.0沖壓廠之成效 P.56第四節 臺灣微型製造業之解決方案 P.60第陸章 結論與建議 P.70第一節 研究結論 P.70第二節 研究限制 P.73第三節 研究建議 P.74參考文獻 P.76 zh_TW dc.format.extent 3317695 bytes - dc.format.mimetype application/pdf - dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0108363065 en_US dc.subject (關鍵詞) 工業4.0 zh_TW dc.subject (關鍵詞) 智慧製造 zh_TW dc.subject (關鍵詞) 數位轉型 zh_TW dc.subject (關鍵詞) 機台管理 zh_TW dc.subject (關鍵詞) Industry 4.0 en_US dc.subject (關鍵詞) Smart manufacturing en_US dc.subject (關鍵詞) Digital transformation en_US dc.subject (關鍵詞) Machine managements en_US dc.title (題名) 工業4.0下的即時機台管理 zh_TW dc.title (題名) The Real-time Machine Managements in Industry 4.0 en_US dc.type (資料類型) thesis en_US dc.relation.reference (參考文獻) 中文部分王偉鴻、李永正、劉翰璋 (2019)。我國製造業數位轉型的挑戰與政策精進建議。臺灣經濟研究月刊，第10期：13-20吳安妮 (2015)。管理會計技術商品化：以ABC為核心之作業價值管理系統(AVMS)為例，會計研究月刊，第359期：20-24。吳安妮 (2021)。企業策略的終極答案：用「作業價值管理AVM」破除成本迷思，掌握正確因果資訊，做對決策賺到管理財(最新修訂版)。台北：臉譜出版社。林上育 (2017)。工業4.0與作業價值管理(AVM)之結合，國立政治大學會計學系碩士論文。蘇仕豪 (2018)。工業4.0之發展模式與關鍵成功因素分析，國立政治大學企業管 理學系碩士論文李亦晴 (2021)。觀察臺灣製造業談數位轉型的契機，上網日期110年06月23日，檢自，https://mic.iii.org.tw/industry.aspx?id= 409&list=5行政院全球資訊網 (2015)。行政院生產力4.0發展方案，上網日期110年04月26日，檢自，https://www.ey.gov.tw/Advanced_Search.aspx=%E7%94%9F%E7%94%A2%E5%8A%9B4.0產業價值鏈資訊平台 (2020)。連接器產業鏈簡介，上網日期110年03月25日，檢自，https://ic.tpex.org.tw/introduce.php?ic=K000賀桂芬、熊毅晰 (2020)。天下雜誌665期，工業4.0要做好、做滿？9張圖看見臺灣企業數位轉型的痛點，上網日期110年02月21日，檢自，https://www.cw.com.tw/article/5093723?template=transformersEli Tidhar, Jeremy Siegman, Dan Paikowsky (2018)。工業4.0新戰略與發展路徑，上網日期110年06月10日，檢自，https://www2.deloitte.com/content/dam/Deloitte/tw/Documents/energy-resources/tw-2019-industry-report.pdf英文部分Akkermans, H. A., Bogerd, P., Yücesan, E. & Van Wassenhove, L. N. (2003). The impact of ERP on supply chain management: Exploratory findings from a European Delphi study. European Journal of operational research, 146(2), 284-301.Braglia, M., Frosolini, M. & Zammori, F. (2009). Overall equipment effectiveness of a manufacturing line (OEEML): an integrated approach to assess systems performance. Journal of Manufacturing Technology Management, 20(1), 8-29.Büchi, G., Cugno, M. & Castagnoli, R. (2020). Smart factory performance and Industry 4.0. Technological Forecasting and Social Change, 150, 119790.Chryssolouris, G., Mavriios, D., Papakostas, N., Mourtzis, D., Michalos, G. & Georgoulias, K. (2009). Digital manufacturing: history, perspectives, and outlook. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 223(5), 451-462.Ehret, M. & Wirtz, J. (2017). Unlocking value from machines: business models and the industrial internet of things. Journal of Marketing Management, 33(1-2), 111-130.Fleisch, E., Weinberger, M. & Wortmann, F. (2014). Geschäftsmodelle im Internet der Dinge. HMD Praxis der Wirtschaftsinformatik, 51(6), 812-826.Helo, P., Suorsa, M., Hao, Y. & Anussornnitisarn, P. (2014). Toward a cloud-based manufacturing execution system for distributed manufacturing. Computers in Industry, 65(4), 646-656.Hermann, M., Pentek, T. & Otto, B. (2016, January). Design principles for industrie 4.0 scenarios. Paper presented at the 49th Hawaii International Conference on System Sciences, Koloa.Hwang, J. N. (2011, October). Distributed and centralized information management of wireless smart camera networks. Paper presented at the 14th ACMInternational Conference Modeling, Analysis and Simulation of Wireless and Mobile System, Miami.Ibarra, D., Ganzarain, J. & Igartua, J. I. (2018). Business model innovation through Industry 4.0: A review. Procedia Manufacturing, 22, 4-10.Iivari, M. M., Ahokangas, P., Komi, M., Tihinen, M. & Valtanen, K. (2016). Toward ecosystemic business models in the context of industrial internet. Journal of Business Models, 4(2), 42-59.Jacobs, F. R. (2007). Enterprise resource planning (ERP)—A brief history. Journal of operations management, 25(2), 357-363.Lee, J., Kao, H. A. & Yang, S. (2014). Service innovation and smart analytics for industry 4.0 and big data environment. Procedia Cirp, 16, 3-8.Liao, Y., Deschamps, F., Loures, E. D. F. R. & Ramos, L. F. P. (2017). Past, present and future of Industry 4.0-a systematic literature review and research agenda proposal. International journal of production research, 55(12), 3609-3629.Liu, F. & Miao, Z.(2006, November). The application of RFID technology in production control in the discrete manufacturing industry. Paper presented at the International Conference on Video and Signal Based Surveillance, Sydney.Mantravadi, S. & Møller, C. (2019). An overview of next-generation manufacturing execution systems: How important is MES for industry 4.0 ?. Procedia manufacturing, 30, 588-595.Maslarić, M., Nikoličić, S. & Mirčetić, D. (2016). Logistics response to the industry 4.0: the physical internet. Open engineering, 6(1),511-517.McCLELLAN, M. (2001, June). Introduction to manufacturing execution systems. Paper present at the MES Conference & Exposition, Baltimore.Menezes, S., Creado, S. & Zhong, R. Y. (2018). Smart manufacturing execution systems for small and medium-sized enterprises. Procedia CIRP, 72, 1009-1014.Reischauer, G. (2018). Industry 4.0 as policy-driven discourse to institutionalize innovation systems in manufacturing. Technological Forecasting and Social Change, 132, 26-33.Rüßmann, M., Lorenz, M., Gerbert, P., Waldner, M., Justus, J., Engel, P. & Harnisch, M. (2015). Industry 4.0: The future of productivity and growth in manufacturing industries. Boston Consulting Group, 9(1), 54-89.Thoben, K. D., Wiesner, S. & Wuest, T. (2017). “Industrie 4.0” and smart manufacturing-a review of research issues and application examples. International journal of automation technology, 11(1), 4-16.Vaidya, S., Ambad, P. & Bhosle, S. (2018). Industry 4.0–a glimpse. Procedia manufacturing, 20, 233-238.Yin, R. K. (1994). Case study research: Design and methods, applied social research. Methods series, 5.Yin, Y. (2018). Fund Portfolio Holdings and Affiliated Analyst`s Objectivity: Do Equity and Employment Relationship Matter?. Journal of Behavioral Finance, 19(1), 16-29.Zhong, R. Y., Xu, X. & Wang, L. (2017). IoT-enabled smart factory visibility and traceability using laser-scanners. Procedia Manufacturing, 10, 1-14. zh_TW dc.identifier.doi (DOI) 10.6814/NCCU202100682 en_US
