AWARENESS ANALYSIS OF INDUSTRY 4.0

Yıl 2020, Sayı: 31, 7 - 25, 29.05.2020

Kevser Yılmaz , Aşkın Özdağoğlu

https://doi.org/10.20875/makusobed.459431

Cited By: 1

Öz

Industry 4.0 is a new disruptive (r)evolution that not only affects the production systems of companies but also affects the society as a whole. This new revolution brings several new benefits to firms, such as; a more flexible production system, individual production, digital value chain, new business models, resource, and energy efficiency. Therefore, it is very important for firms to be aware of the Industry 4.0. In this study, the Industry 4.0 awareness of the firms located in İzmir and Manisa is investigated. Moreover, a chi-square analysis is conducted in order to determine the relationship between firm size and awareness of Industry 4.0’s terms and R&D budget of firms and awareness of Industry 4.0’s terms. 

Anahtar Kelimeler

Industry 4.0, Awareness Analysis, Cyber-Physical Systems, Internet of Things, Big Data

ENDÜSTRİ 4.0’IN FARKINDALIK ANALİZİ

Öz

Endüstri 4.0, sadece şirketlerin üretim sistemlerini değil, aynı zamanda toplumu bir bütün olarak etkileyen yeni yıkıcı bir (d)evrimdir. Bu yeni devrim, firmalara; daha esnek bir üretim sistemi, bireysel üretim, dijital değer zinciri, yeni iş modelleri, kaynak ve enerji verimliliği gibi birçok yeni avantajlar getirmektedir. Dolayısıyla, firmaların Endüstri 4.0’ın farkında olmaları önemlidir. Bu çalışmada İzmir ve Manisa’da yer alan firmaların Endüstri 4.0 farkındalığı araştırılmıştır. Ayrıca, firma büyüklüğü ile Endüstri 4.0 terimlerinin bilinirliği ve şirketlerin araştırma ve geliştirme bütçelerinin olması ile Endüstri 4.0 terimlerinin bilinirliği arasında bir ilişki olup olmadığı bulmak için ki-kare analizi kullanılmıştır.

Anahtar Kelimeler

Endüstri 4.0, Farkındalık Analizi, Siber Fiziksel Sistemler, Nesnelerin İnterneti, Büyük Veri

Kaynakça

• Allen, R. C. (2006). The British Industrial Revolution in global perspective: How commerce created the Industrial Revolution and modern economic growth. Unpublished, Nuffield College, Oxford, 1-40.
• Atkeson, A., & Patrich, K. J. (2001).The transition to a new economy after the second industrial revolution (No. w8676). National Bureau of Economic Research.
• Azuma, R. T. (1997). A survey of augmented reality. Presence: Teleoperators & Virtual Environments, 6(4), 355-385.
• Azuma, R., Baillot, Y., Behringer, R., Feiner, S., Julier, S., & MacIntyre, B. (2001). Recent advances in augmented reality. IEEE computer graphics and applications, 21(6), 34-47.
• Baheti , R., & Gill, H. (2011). Cyber-physical systems. The impact of control technology, 12, 161-166.
• Blanchet, M., Rinn, T., Von Thaden, G., & De Thieulloy, G. (2014). Industry 4.0: The new industrial revolution-How Europe will succeed. Hg. v. Roland Berger Strategy Consultants GmbH. München. Abgerufen am 11.05. 2014, unter http://www.rolandberger.com/media/pdf/Roland_Berger_TAB_Industry_4_0_2014 0403. pdf.
• Byres, E., & Lowe, J. (2004). The myths and facts behind cyber security risks for industrial control systems. In Proceedings of the VDE Kongress,116, 213-218.
• Chen, M., Mao, S., & Liu, Y. (2014). Big data: A survey. Mobile networks and applications, 19(2), 171-209.
• Commission, E. (2017, December 14). European Commission: Factories of the Future. Retrieved from http://ec.europa.eu/research/industrial_technologies/factories-of-the-future_en.html (11.01.2018)
• Drath , R., & Horch, A. (2014). Industrie 4.0: Hit or Hype? [industry forum].IEEE industrial electronics magazine, 8(2), 56-58.
• Evans, P. C., & Annunziata, M. (2012). Industrial Internet: Pushing the Boundaries of Minds and Machines. General Electric Reports.
• Fisher, R. A. (1925). Statistical methods for research workers. Genesis Publishing Pvt Ltd.
• Golgeci, I., and S. Y. Ponomarov. 2015. “How Does Firm Innovativeness Enable Supply Chain Resilience? The Moderating Role of Supply Uncertainty and Interdependence.” Technology Analysis & Strategic Management, 27 (3): 267–282
• Hult, G. T. M., R. F. Hurley, and G. A. Knight. 2004. “Innovativeness: Its Antecedents and Impact on Business Performance.” Industrial Marketing Management, 33, 429–438.
• Jazdi, N. (2014, May). Cyber physical systems in the context of Industry 4.0. In Automation, Quality and Testing, Robotics. 2014 IEEE International Conference on, 1-4.
• Jensen, M. C. (1993). The modern industrial revolution, exit, and the failure of internal control systems. The Journal of Finance, 48(3), 831-880.
• Johnson, M. (2016). Leveraging high performance computing to drive advanced manufacturing R&D at the US department of energy. IEEE International Conference on Big Data (Big Data), (pp. 5-6).
• Kagermann, H. (2015). Change through digitization-Value creation in the age of Industry 4.0. In Management of Permanent Change, Springer Fachmedien Wiesbaden, 23-45
• 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.
• Kagermann, H., Lukas, W. D., & Wahlster, W. (2011). Industrie 4.0: Mit dem Internet der Dinge auf dem Weg zur 4. industriellen Revolution. VDI nachrichten, 13,11.
• Kalaycı, Ş. (2010). SPSS uygulamalı çok değişkenli istatistik teknikleri (Vol. 5). Ankara, Turkey: Asil Yayın Dağıtım
• KAP, Retrieved from KAP: https://www.kap.org.tr/tr/Sektorler (17.05.2018)
• Kent State University Libraries. Retrieved from SPSS Tutorials: Chi-Square Test of Independence: https://libguides.library.kent.edu/SPSS/ChiSquare (19.05.2018)
• Kerawalla, L., Luckin, R., Seljeflot, S., & Woolard, A. (2006). “Making it real”: exploring the potential of augmented reality for teaching primary school science. Virtual reality, 10(3-4), 163-174.
• Kerawalla, L., Luckin, R., Seljeflot, S., & Woolard, A. (2006). “Making it real”: exploring the potential of augmented reality for teaching primary school science. Virtual reality, 10(3-4), 163-174.
• Klopfer, E., & Squire, K. (2008). Environmental Detectives—the development of an augmented reality platform for environmental simulations. Educational Technology Research and Development, 56(2), 203-228.
• Kortuem, G., Kawsar, F., Sundramoorthy, V., & Fitton, D. (2010). Smart objects as building blocks for the internet of things. IEEE Internet Computing, 14(1), 44-51.
• KOSGEB. (2018). Retrieved from http://www.kosgeb.gov.tr/site/tr/genel/kobimiyim-/0/kobimiyim-testi (16.05.2018)
• Laerd Statistics. Retrieved from Chi-Square Goodness-of-Fit Test in SPSS Statistics: https://statistics.laerd.com/spss-tutorials/chi-square-goodness-of-fit-test-in-spss-statistics.php (19.05.2018)
• Lasi, H., Fettke, P., Kemper, H. G., Feld, T., & Hoffmann, M. (2014). Industry 4.0. Business & Information Systems Engineering, 6(4), 239-242.
• Lee, E. A. (2008). Cyber physical systems: Design challenges. 11th IEEE Symposium on Object Oriented Real-Time Distributed Computing (ISORC) (pp. 363-369). IEEE.
• Liu, S. X. (2016). Innovation design: made in China 2025. Design Management Review, 27(1), 52-58.
• Liu, W., Cheok, A. D., Mei-Ling, C. L., & Theng, Y. L. (2007, September). Mixed reality classroom: learning from entertainment. In Proceedings of the 2nd international conference on Digital interactive media in entertainment and arts (pp. 65-72). ACM.
• Lucke, D., Constantinescu, C., & Westkämper, E. (2008). Smart factory-a step towards the next generation of manufacturing. In Manufacturing systems and technologies for the new frontier (pp.115-118). Springer: London.
• McHugh, M. L. (2013). The chi-square test of independence. iochemia medica: Biochemia medica, 23(2), 143-149.
• Mell, P., & Grance, T. (2011). The NIST Definition of Cloud . National Institute of Standards and Technology .
• Mokyr, J. (1998). The second industrial revolution, 1870-1914. Storia dell’economia Mondiale, 219-45.
• Paelke, V. (2014). Augmented reality in the smart factory: Supporting workers in an industry 4.0. environment. In Emerging Technology and Factory Automation (ETFA), IEEE, 1-4.
• Rajkumar, R. R., Lee, I., Sha, L., & Stankovic, J. (2010). Cyber-Physical Systems: The Next Computing Revolution (pp. 731-736). In Proceedings of the 47th Design Automation Conference ACM.
• Redfield , S. A., & Seto, M. L. (2017). Verification Challenges for Autonomous Systems. In Autonomy and Artificial Intelligence: A Threat or Savior? (pp. 103-127). Springer: Cham.
• Rencher, A. C. (2003 ). Methods of Multivariate Analysis. (Vol. 492 ) John Wiley & Sons.
• Rogers, M. (2004). Networks, firm size and innovation. Small business economics, 22(2), 141-153.
• Rosenberg, N. (1998). The role of electricity in industrial development. The Energy Journal, 7-24.
• 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.
• Scherer, F. M. (1991). Changing Perspectives on the firm size Problem. Innovation and Technological Change: An International Comparison, 24-38.
• Schmidt, R., Möhring, M., Härting, R.-C., Reichstein, C., Neumaier, P., & Jozinović, P. (2015). Industry 4.0-potentials for creating smart products: empirical research results. In International Conference on Business Information Systems (pp. 16-27). Springer: Cham.
• Schulte, M. A. (2016). Digital Transformation in the Manufacturing Industry, Industry 4.0: From Vision to Reality. IDC White Paper, sponsored by Dassault Systèmes.
• Secretary, O. (2011, June 24). President Obama Launches Advanced Manufacturing Partnership. Retrieved from the House President Barack Obama: https://obamawhitehouse.archives.gov/the-press-office/2011/06/24/president-obama-launches-advanced-manufacturing-partnership (17.05.2018)
• Shrouf, F., Ordieres, J., & Miragliotta, G. (2014). Smart factories in Industry 4.0: A review of the concept and of energy management approached in production based on the Internet of Things paradigm (pp. 697-701). In Industrial Engineering and Engineering Management (IEEM), 2014 IEEE International Conference on.
• TÜSİAD, B. C. (2016, 03). Türkiye’nin Küresel Rekabetçiliği İçin Bir Gereklilik Olarak Sanayi 4.0 – Gelişmekte Olan Ekonomi. Retrieved from TÜSİAD: http://tusiad.org/tr/tum/item/8671-turkiyenin-sanayi-40-donusumu
• Van Krevelen, D. W. F., & Poelman, R. (2010). A survey of augmented reality technologies, applications and limitations. International Journal of Virtual Reality, 9(2), 1.
• Vaona, A., & Pianta, M. (2008). Firm size and Innovation in European manufacturing. Small business economics, 30(3), 283-299.
• Vaquero, L. M., Rodero-Merino, L., Caceres, J., & Lindner, M. (2008). A Break in the Clouds: Towards a Cloud Definition. ACM SIGCOMM Computer Communication Review, 39(1), 50-55.
• Vogel-Heuser, B., & Hess, D. (2016). Guest editorial industry 4.0–prerequisites and visions. EEE Transactions on Automation Science and Engineering, 13(2), 411-413.Wang, X., Li, L., Yuan, Y., Ye, P., & Wang, F.-Y. (2016a). ACP-based Social Computing and Parallel Intelligence: Societies 5.0 and Beyond. CAAI Transactions on Intelligence Technology, 377-393.
• Wang, S., Wan, J., Li, D., & Zhang, C. (2016b). Implementing Smart Factory of Industrie 4.0: An Outlook. International Journal of Distributed Sensor Networks, 12(1), 3159805.
• Wang, S., Wan , J., Zhang, D., Li, D., & Zhang, C. (2016c). Towards smart factory for industry 4.0: a self-organized multi-agent system with big data based feedback and coordination. Computer Networks, 101, 158-168.
• Wu, X., Zhu, X., Wu, G. Q., & Ding, W. (2014). Data mining with big data. IEEE transactions on knowledge and data engineering, 26(1), 97-107.
• Xie, P., Li, J., Out, X., Liu, P., & Levy, R. (2010). Using Bayesian networks for cyber security analysis (pp. 211-220). In Dependable Systems and Networks (DSN), 2010 IEEE/IFIP international conference on IEEE.
• Zhou, K., Liu, T., & Zhou, L. (2015). Industry 4.0: Towards future industrial opportunities and challenges (pp. 2147-2152). In Fuzzy Systems and Knowledge Discovery (FSKD), 2015 12th International Conference on IEEE.