Journals / Uluslararası Politik Araştırmalar Dergisi / 2021 / Cilt: 7 - Sayı: 1

New Trends in Industry 4.0 Using Text Mining

Metin Madenciliği ile Endüstri 4.0’da Yeni Eğilimler

Pages
1–14
Publication Date
2021-04-28
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Thus, it was aimed to raise awareness for these bigrams, which are expected to be studied more in the industry in the future.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Industry 4.0, which started as a result of the information and technology age, includes systems that receive, transmit, evaluate and manage data.
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Key Findings & Data:For this reason, the concepts of these technologies are frequently included in the scientific articles about Industry 4.0.
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Conclusion & Impact:Thus, it was aimed to raise awareness for these bigrams, which are expected to be studied more in the industry in the future.
🔬Design:Research Article
📍Scope:2017 Verileri
⚙️Variables:Endüstri 4.0 · dijital ikiz · döngüsel ekonomi

Abstract

Industry 4.0, which started as a result of the information and technology age, includes systems that receive, transmit, evaluate and manage data. All kinds of movements of the devices in these systems are monitored in real time. These monitoring data are transmitted and stored through various channels, evaluated using information systems and necessary mechanisms are activated by cyber physical systems. For this reason, the concepts of these technologies are frequently included in the scientific articles about Industry 4.0. Based on this idea, the basic concepts and new trends in Industry 4.0 are investigated in this study. For this purpose, highly cited 75 Industry 4.0 articles are selected to reveal the basic concepts of Industry 4.0, bigrams and trigrams in these articles are found. Later, the bigrams, that are not included in the scientific articles belonging to the years until 2017, but are seen in the articles of at least two different years in 2017 and after, and are also among the top 100 most used bigrams are identified. In the last stage, in order to see which of these bigrams usage frequency have increased over the years, these bigrams were queried using the Google Books Ngram Viewer platform. By applying this method, new trends in Industry 4.0 were found as "additive manufacturing", “3d printing”, "cyber security", "circular economy", "sustanaible business" and "digital twin". Thus, it was aimed to raise awareness for these bigrams, which are expected to be studied more in the industry in the future.

Özet

Bilişim ve teknoloji çağının bir sonucu olarak başlayan Endüstri 4.0 verileri alan, ileten, değerlendiren ve yöneten sistemleri içermektedir. Bu sistemlerdeki cihazların her türlü hareketleri gerçek zamanlı izlenir, bu izleme verileri çeşitli kanallarla iletilir ve saklanır, bilişim sistemleri kullanılarak değerlendirilir ve siber fiziksel sistemlerle gerekli mekanizmaların harekete geçmesi sağlanır. Bu nedenle bu teknolojilere ait kavramlar Endüstri 4.0 ile ilgili bilimsel makalelerde sıkça yer alır. Bu fikirden yola çıkarak bu çalışmada Endüstri 4.0’daki temel kavramlar ve yeni eğilimler araştırıldı. Bu amaçla Endüstri 4.0 ile ilgili çok atıfa sahip 75 bilimsel makale seçilmiş ve bu makalelerde en çok kullanılan ikili ardışık kelimeler (bigram) ve üçlü ardışık kelimeler (trigram) bulunmuştur. Daha sonra, 2017'e kadar olan yıllara ait bilimsel makalelerde yer almayan, ancak 2017 ve sonrasındaki en az iki farklı yıldaki makalelerde görülen ve aynı zamanda en çok kullanılan ilk 100 bigram arasına giren bigramlar tespit edildi. Son aşamada, bu bigramlardan hangilerinin yıllara göre kullanım frekanslarının arttığını görmek için, bu bigramlar Google Books Ngram Viewer platformu kullanılarak sorgulandı. Bu yöntem uygulanarak, Endüstri 4.0 içindeki yeni eğilimler "katmanlı üretim", “3d printing”, "siber güvenlik", "döngüsel ekonomi", "sürdürülebilir iş", "dijital ikiz" olarak bulunmuştur. Böylece, gelecekte endüstride daha fazla üzerinde çalışılacağı tahmin edilen bu bigramlar için farkındalık oluşturmak istenmiştir.

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Cite This Article

EDİZ, Ç. (2021). New Trends in Industry 4.0 Using Text Mining. Uluslararası Politik Araştırmalar Dergisi, Cilt: 7 - Sayı: 1, 1–14. https://ajindex.com/articles/221058

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References (11)

  1. Aazam, M., Zeadally, S., & Harras, K. A. (2018). Deploying fog computing in industrial internet of things and industry 4.0. IEEE Transactions on Industrial Informatics, 14(10), 4674-4682.
  2. Aceto, G., Persico, V., & Pescapé, A. (2020). Industry 4.0 and health: Internet of things, big data, and cloud computing for healthcare 4.0. Journal of Industrial Information Integration, 18, 100129. Almada-Lobo, F. (2015). The Industry 4.0 revolution and the future of manufacturing execution systems (MES). Journal of innovation management, 3(4), 16-21.
  3. Ardito, L., Petruzzelli, A. M., Panniello, U., & Garavelli, A. C. (2019). Towards Industry 4.0. Business Process Management Journal. Bagheri, B., Yang, S., Kao, H. A., & Lee, J. (2015). Cyber-physical systems architecture for self-aware machines in industry 4.0 environment. IFAC-PapersOnLine, 48(3), 1622-1627.
  4. Barreto, L., Amaral, A., & Pereira, T. (2017). Industry 4.0 implications in logistics: an overview. Procedia Manufacturing, 13, 1245-1252.
  5. Baygin, M., Yetis, H., Karakose, M., & Akin, E. (2016, September). An effect analysis of industry 4.0 to higher education. In 2016 15th international conference on information technology based higher education and training (ITHET) (pp. 1-4).
  6. IEEE. Bonekamp, L., & Sure, M. (2015). Consequences of Industry 4.0 on human labour and work organisation. Journal of Business and Media Psychology, 6(1), 33-40.
  7. Boschert, S., Heinrich, C., & Rosen, R. (2018, May). Next generation digital twin. In Proc. tmce (pp. 209-218).
  8. Las Palmas de Gran Canaria, Spai Brettel, M., Friederichsen, N., Keller, M., & Rosenberg, M. (2014). How virtualization, decentralization and network building change the manufacturing landscape: An Industry 4.0 Perspective. International journal of mechanical, industrial science and engineering, 8(1), 37-44.
  9. Buer, S. V., Strandhagen, J. O., & Chan, F. T. (2018). The link between Industry 4.0 and lean manufacturing: mapping current research and establishing a research agenda. International Journal of Production Research, 56(8), 2924-2940.
  10. Büchi, G., Cugno, M., & Castagnoli, R. (2020). Smart factory performance and Industry 4.0. Technological Forecasting and Social Change, 150, 119790. Diez-Olivan, A., Del Ser, J., Galar, D., & Sierra, B. (2019). Data fusion and machine learning for industrial prognosis: Trends and perspectives towards Industry 4.0. Information Fusion, 50, 92-111.
  11. Dilberoglu, U. M., Gharehpapagh, B., Yaman, U., & Dolen, M. (2017). The role of additive manufact