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姓名 莊凱傑(Chong Kai Jack)  查詢紙本館藏   畢業系所 企業管理學系
論文名稱 運用文字採礦分析東協國家工業4.0的發展
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摘要(中) 工業4.0無疑是當下先進國家尤其是工業界最熱門的話題之一,無論是大數據、物聯網、人工智慧等等的名詞,都跟工業4.0脫離不了關係。工業4.0由德國提出,意在創造出下一個時代的智能製造,讓機器與工廠擁有近乎人的智慧,能夠自主的思考、判斷與決策,讓生產力大幅度的提升。東南亞國家協會(東協),則是最近崛起最快的經濟體之一,並繼承了大陸之後的另一個世界工廠,專門以勞力密集的方式來做代工生產。工業4.0在東協的情況,雖然有研究的價值,但探討的人並不多,能夠跟工業4.0牽扯到的東協國家的論文,更是屈指可數。本論文主要是通過文字採礦方式,來為研究東協各國的工業4.0發展趨勢。文字採礦所運用的方法有兩個,分別是畫概念連結圖與主題分析(文字歸類)。資料來源則是通過Lexisnexis Academic資料庫來收集東協各國(新加坡、馬來西亞、泰國、印尼、菲律賓、越南)於2016-2018年在全球的英文新聞。

研究結果發現,東協各國的跟工業4.0有關的新聞逐年有上升的趨勢。根據東協各國的不同年份(industry 4.0)關聯詞語的比較,雖然一開始大家對工業4.0的想法都有些類似,但隨著時間的發展卻有了很大的差異。從主題分析中,我們發現各國每年對工業4.0都會有不一樣的主題,彼此之間的主題差異也很大。從概念連結圖中,我們可以從不同關聯詞語發現工業4.0在各國的發展脈絡。對於印尼,它的態度是傾向於被動的去適應工業4.0的時代。對於新加坡,它是六國之中對工業4.0的想法是最成熟的。對於泰國,它是研究工業4.0後,專注於價值鏈的設計端與生產端。對於馬來西亞,它是六國之中對最多高官對工業4.0在新聞有表示看法的。對於越南,它則是六國之中最吸引投資者目光的。對於菲律賓,該國政府也有積極的培養工業4.0人才。
摘要(英) Industry 4.0 is undoubtedly one of the hottest topics in advanced countries, especially in industrial areas. Keywords such as big data, Internet of Things, artificial intelligence, etc., are inseparable from Industry 4.0. Industry 4.0 was proposed by Germany to create intelligent manufacturing in the next era, allowing machines and factories to have near-human wisdom, to be able to think, judge and make decisions autonomously, so that productivity can be greatly improved. The Association of Southeast Asian Nations (ASEAN) is one of the fastest-rising economies in recent times and has inherited another world factory after china, specializing in foundry production in a labor-intensive manner. In the case of Industry 4.0 in the ASEAN, although it has the value of research, there are not many people to discuss, and there are only a handful of papers in the ASEAN countries that can be involved with Industry 4.0. This paper mainly uses the text mining method to study the development trend of Industry 4.0 in ASEAN countries. There are two methods used in text mining, namely, concept linking analysis and topic analysis (text categorization). The data source is through the Lexisnexis Academic database to collect English news from Singapore, Malaysia, Thailand, Indonesia, Philippines and Vietnam in 2016-2018.

The study found that news related to Industry 4.0 in ASEAN countries has been increasing year by year. According to the comparison of the related terms of the different years of the ASEAN countries regarding industry 4.0, although the ideas of Industry 4.0 were somewhat similar at the beginning, they have a very different idea over time. From the analysis of the themes, we find that countries have different themes for Industry 4.0 every year, and the differences between themes are also very large. From the concept link diagram, we can discover the development of Industry 4.0 in different countries from different related words. For Indonesia, its attitude is to be passive to adapt to the era of Industry 4.0. For Singapore, the idea of Industry 4.0 among the six countries is the most mature. For Thailand, after researching Industry 4.0, focus on the design and production side of the value chain. For Malaysia, among the six countries, the most high-ranking officials have expressed their views on Industry 4.0 in the news. For Vietnam, it is the most attractive among investors in the six countries. For the Philippines, the government also has an active training of Industry 4.0 talent.
關鍵字(中) ★ 工業4.0
★ 東協
★ 文字採礦
★ 概念連結
★ 主題分析
關鍵字(英) ★ Industry 4.0
★ ASEAN
★ text mining
★ concept links
★ topic analysis
論文目次 中文摘要 i
ABSTRACT ii
致謝 iv
目錄 v
表目錄 vii
圖目錄 viii
第一章 緒論 1
1.1 研究背景與動機 1
1.2 研究目的 2
第二章 文獻探討 4
2.1 工業4.0 4
2.2 東南亞各國的工業4.0情況 7
第三章 研究方法 11
3.1 文字採礦 11
第四章 研究結果 15
4.1 印尼 15
4.2 新加坡 23
4.3 泰國 31
4.4 馬來西亞 39
4.5 越南 47
4.6 菲律賓 54
4.7 東協各國的不同年份概念連結的關聯詞語比較 61
第五章 結論與建議 68
參考資料 71
參考文獻 Abdullah, D. B., Abdullah, M. Y., & Salleh, M. A. M. (2017). A review on the concept of Fourth Industrial Revolution and the government’s initiatives to promote it among youths in Malaysia. e-Bangi, 14(7).

Almada-Lobo, F. (2016). The Industry 4.0 revolution and the future of manufacturing execution systems (MES). Journal of innovation management, 3(4), 16-21.

Ang, J., Goh, C., Saldivar, A., & Li, Y. (2017). Energy-efficient through-life smart design, manufacturing and operation of ships in an industry 4.0 environment. Energies, 10(5), 610.

Arbulu, I., Lath, V. , Mancini, M. , Patel, A. , Tonby, O. (2018). Industry 4.0: Reinvigorating ASEAN Manufacturing for the Future.

Bahrin, M. A. K., Othman, M. F., Azli, N. N., & Talib, M. F. (2016). Industry 4.0: A review on industrial automation and robotic. Jurnal Teknologi, 78(6-13), 137-143.

Buasuwan, P. (2018). Rethinking Thai higher education for Thailand 4.0. Asian Education and Development Studies, 7(2), 157-173.

Cho, C. J., & Song, Y. C. (2018). The 4th Industrial Revolution Strategy and Cooperation in China, India and Singapore. KIEP Research Paper, World Economy Brief, 18-14.

Dadios, E. P., Culaba, A. B., Albert, J. R. G., Paqueo, V. B., Orbeta Jr, A. C., Serafica, R. B., . . . Bairan, J. C. A. C. (2018). Preparing the Philippines for the Fourth Industrial Revolution: A Scoping Study.

Desatova, P. (2018). Thailand 4.0 and the internal focus of nation branding. Asian Studies Review, 42(4), 682-700.

Geissbauer, R., Schrauf, S. , Koch, V. , Kuge, S. (2014). PwC, Industry 4.0 Self Assessment.

Giffi, C. A., Rodriguez, M. D. , Gangula, B. , Roth, A. V. , Hanley, T. (2016). 2016 Global Manufacturing Competitiveness Index

Haddara, M., & Elragal, A. (2015). The Readiness of ERP Systems for the Factory of the Future. Procedia Computer Science, 64, 721-728.

Hozdić, E. (2015). Smart factory for industry 4.0: A review. International Journal of Modern Manufacturing Technologies, 7(1), 28-35.

Jones, C., & Pimdee, P. (2018). Innovative ideas: Thailand 4.0 and the fourth industrial revolution. JOURNAL OF ETHNIC MINORITIES RESEARCH(22).

Justin Wood, T. N., Shailesh Sharda, Adam Schlosser, Jayant Menon, Anna Fink, Arjun Goswami, Arjun Goswami. (2017). ASEAN 4.0: What does the Fourth Industrial Revolution mean for regional economic integration?

Lee, J. (2015). Smart factory systems. Informatik-Spektrum, 38(3), 230-235.

Lee, J., Bagheri, B., & Kao, H.-A. (2015). A cyber-physical systems architecture for industry 4.0-based manufacturing systems. Manufacturing letters, 3, 18-23.

Li, L. (2018). China′s manufacturing locus in 2025: With a comparison of “Made-in-China 2025” and “Industry 4.0”. Technological Forecasting and Social Change, 135, 66-74.

Lichtblau, K., Stich, V. , Bertenrath, R. , Blum, M. , Bleider, M. , Millack, A. , Schmitt, K. , Schmitz, E. , Schröter, M. (2015). IMPULS, INDUSTRIE 4.0 READINESS.

Ooi, K.-B., Lee, V.-H., Tan, G. W.-H., Hew, T.-S., & Hew, J.-J. (2018). Cloud computing in manufacturing: The next industrial revolution in Malaysia? Expert Systems with Applications, 93, 376-394.

Pan, M., Sikorski, J., Kastner, C. A., Akroyd, J., Mosbach, S., Lau, R., & Kraft, M. (2015). Applying industry 4.0 to the Jurong Island eco-industrial park. Energy Procedia, 75, 1536-1541.

Rodič, B. (2017). Industry 4.0 and the new simulation modelling paradigm. Organizacija, 50(3), 193-207.
Schumacher, A., Erol, S., & Sihn, W. (2016). A maturity model for assessing Industry 4.0 readiness and maturity of manufacturing enterprises. Procedia CIRP, 52, 161-166.

Sjödin, D. R., Parida, V., Leksell, M., & Petrovic, A. (2018). Smart Factory Implementation and Process Innovation: A Preliminary Maturity Model for Leveraging Digitalization in Manufacturing Moving to smart factories presents specific challenges that can be addressed through a structured approach focused on people, processes, and technologies. Research-Technology Management, 61(5), 22-31.

WMG, C. C., Pinsent Masons. (2017). An Industry 4 readiness assessment tool.

Zhou, K., Liu, T., & Zhou, L. (2015). Industry 4.0: Towards future industrial opportunities and challenges. Paper presented at the 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD).
指導教授 沈建文(Chien-wen Shen) 審核日期 2019-7-26
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