research trends in industry 4.0
TRANSCRIPT
RESEARCH TRENDS IN INDUSTRY 4.0: A CONTENT ANALYSIS
GULAY EKRENSinop University
ALPTEKIN ERKOLLARSakarya University
BIRGIT OBERERSakarya University
Co-workersAlptekin ERKOLLAR, Phd
Sakarya University, TURKEY
Faculty of Management, Department of Management Information Systems
Birgit OBERER, Phd
Sakarya University, TURKEY
Faculty of Management, Department of Management Information Systems
Gülay EKREN, Phd Student
Sinop University, TURKEY
Departmant of Computer Technologies, Vocational School of Ayancık
Intr
od
uct
ion
Industry 4.0
• The term «Industry 4.0»• I4.0 has been getting more and more attention
worldwide.• The main issues are key technologies of I4.0,
interoperability in I4.0, cyber-physical based I4.0, concepts, and perspectives in I4.0 (Lu, 2017)
• Liao et al. (2017) examined I4.0 regarding related journals, topics and categories, application areas, conferences, keywords research topics, deficiencies and potential trends.
Aim
s• This study aims to explore the current research
trends in I4.0 covering the period of 2012 and 2017 (up to May).
• The research questions are:1. What are the emerging issues in Industry 4.0? 2. Where are the application domains of these studies?3. How is the distribution of these researches by years? 4. Which types of research methods (qualitative, quantitative, or mixed) are used
more often in the studies conducted?5. How is the distribution of the methods employed by years?6. In which journals have been published widely on industry 4.0 research?7. Which conferences publish more papers than others related to Industry 4.0?8. What are the keywords commonly used by authors?9. Which article is the most cited article? 10. Which paper is the most cited paper? 11. How many articles are written by multiple authors?12. In what countries are more researchers researching Industry 4.0?
Met
ho
do
logy
• Criteria for inclusion; Research should be:• Conducted in the context of distance higher education• Examined the effect of openness on distance
education. • used quantitative, qualitative, mixed or other research
methods. • providing necessary information for openness in its
abstract.
• The study is carried out using qualitative methods, based on an inductive analysis approach via content analysis.
• 390 articles as well as proceeding papers, which were published between 2012 and 2017 (up to May).
• The keywords: "The fourth industrial revolution, Industry 4.0, Industrie 4.0" from Web of Science.
• 123 articles and 267 proceeding papers are selected for content analysis.
Met
ho
do
logy
• Criteria for inclusion; Research should be:• Conducted in the context of distance higher education• Examined the effect of openness on distance
education. • used quantitative, qualitative, mixed or other research
methods. • providing necessary information for openness in its
abstract.
• The studies selected using the following criteria:- A particular focus on the I4.0 or including
applications or implementation in the context of I4.0, Providing necessary information about I4.0 in its summary, Containing key words related to I4.0, Using a kind of research methodology,Authoring in English.
• The studies coded as the following categories:- Theories, models, and perspectives, CPS-based
architectures, Integration and interoperability,Key drivers and enabling technologies,Applications.
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The distribution of research by years
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sPublication years and Citations
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• The most cited proceeding paper: “Service innovation and smart analytics for Industry 4.0 and big data environment” authored by Lee, Kao & Yang (2014).
• The most cited article is titled as “Industrie 4.0: Hit or Hype?” authored by Drath & Horch (2014).
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sEmerging issues in I4.0 - according to articles
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sEmerging issues in I4.0 - according to proceeding papers
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sPopular journals published articles about I4.0
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sPopular conferences presented proceedings about I4.0
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sThe main issues in conferences
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About conferences
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sThe countries of universities that the authors are employed
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sKeywords commonly used by authors
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sLink analysis of keywords
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Application Domain
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Methodologies of proceedings and articles
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InC
losi
ng
• I4.0 is a concept that is currently progressing and significantly improves the quality of our lives,
• The results indicate that there is an increasing attention to I4.0 in academic world over the last two years.
• The emerging issues about I4.0 are - key drivers and enabling technologies, - theories, models and perspectives, - integration and interoperability.
• the neglected issues are - industrial applications,- CPS-based architectures.
InC
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• The articles are frequently in the areas of manufacturing and engineering .
• The most defined keywords by the authors are- internets of things, cloud computing, and predictive
maintenance
• Germany plays a dominant role• More research is needed in such areas:
- data analytics, logistics, industrial systems, supply chain, human-machine interaction, and mechatronics.
• Bangemann, T., Riedl, M., Thron, M., & Diedrich, C. (2016). Integration of standard components into industrial cyber–physical systems. Proceedingsof the IEEE, 104(5), 947-959.
• Bahrin, M. A. K., Othman, M. F., Nor, N. H., & Azli, M. F. T. (2016). Industry 4.0: a review on industrial automation and robotic. JurnalTeknologi, 78(6-13), 137-143.
• Büyüköztürk, Ş., Kılıç-Çakmak, E., Akgün, Ö. E., Karadeniz, Ş. & Demirel, F. (2008). Bilimsel Araştırma Yöntemleri. Ankara: Pegem Yayınları.• Chen, Y. (2016). Industrial information integration—A literature review 2006–2015. Journal of Industrial Information Integration, 2, 30-64. • Chung, M., & Kim, J. (2016). The Internet Information and Technology Research Directions based on the Fourth Industrial Revolution. KSII
Transactions on Internet & Information Systems, 10(3).• Cohen, L., Manion, L., Morrison, K., & Morrison, K. R. B. (2007). Content analysis and grounded theory. Research methods in education, 475-495.• Drath, R., & Horch, A. (2014). Industrie 4.0: Hit or hype?[industry forum]. IEEE industrial electronics magazine, 8(2), 56-58.• Harrison, R., Vera, D., & Ahmad, B. (2016). Engineering the smart factory. Chinese Journal of Mechanical Engineering, 29(6), 1046-1051.• Kammara, A. C., Palanichamy, L., & König, A. (2016). Multi-objective optimization and visualization for analog design automation. Complex &
Intelligent Systems, 2(4), 251-267.• 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
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manufacturing systems. Computers in Industry, 86, 52-69.• Sert, G., & Seferoğlu, S. S. (2012). Öğretmenlerin teknoloji kullanma durumlarını inceleyen araştırmalara bir bakış: Bir içerik analizi
çalışması. Computers & Education, 14, 46.• Theorin, A., Bengtsson, K., Provost, J., Lieder, M., Johnsson, C., Lundholm, T., & Lennartson, B. (2017). An event-driven manufacturing information
system architecture for Industry 4.0. International Journal of Production Research, 55(5), 1297-1311.• Thomas, D. R. (2006). A general inductive approach for analyzing qualitative evaluation data. American Journal of Evaluation, 27(2), 237-246.• Yıldırım, A. ve Şimşek, H. (2006). Sosyal bilimlerde nitel araştırma yöntemleri. Ankara: Seçkin Yayıncılık.• Wang, S., Wan, J., Li, D., & Zhang, C. (2016). Implementing smart factory of industrie 4.0: an outlook. International Journal of Distributed Sensor
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