TRANSFORMATION OF THE MACHINES FROM LEARNER TO DECISION MAKER: INDUSTRY 4.0 AND BIG DATA
Öz
When the historical
journey of industrialization was reviewed, a particular paradigm shift can be
observed because of every technological change and innovation. These paradigm
shifts, called industrial revolutions, have changed the core from mechanics to
electrical energy, from electrical energy to electronics and automation.
Today's economy is about to face the fourth industrial revolution triggered by
social, economic, technological and political changes. That revolution, known
as Industry 4.0, is based on smart manufacturing, the implementation of
cyber-physical systems in production (CPS), Internet of Things (IoT), cloud
computing, and big data. In addition to the difference in production processes,
the concept is planned to reveal personalized products and services. The
fulfillment of all this depends on the continuity of the environment regarding
innovation and learning. This continuity will be ensured by analyzing every
data that may directly or indirectly affect the production process. Establishing
such a data processing policy for today's classic factory structures is an
essential competitive advantage. However, when it comes to smart factories,
this policy will evolve into the big data analytics-driven one, and become a
necessity beyond the competitive advantage. From this point of view, the role
of big data in the Industry 4.0 concept and its impact on each stakeholder,
which has different and variety contribution from production processes to
qualified human resources, should be carefully examined. In this study, it is
aimed to show the role and effectiveness of big data by presenting industrial
applications and cyber-physical system architecture under the concept of
Industry 4.0.
Anahtar Kelimeler
Kaynakça
- [1] Drath, R., & Horch, A., "Industrie 4.0: Hit or Hype?", IEEE Industrial Electronics Magazine 8(2), 56-59, 2014.
- [2] Höller, J., Tsiatsis, V., Mulligan, C., Karnouskos, S., Avesand, S., & Boyle, D. "Machine-to-Machine to the Internet of Things: Introduction to a New Age of Intelligence", Elsevier Publishing, e-ISBN: 9780080994017 , 1-352, 2014.
- [3]Buhr, D., "Social Innovation Policy for Industry 4.0", Friedrich Ebert Stiftung, 3-16, 2015.
- [4] Bauer, W., “Industry 4.0- An Economy Based on The Internet of Things”, 23rd International Conference for Production Research, Manila, Philippines, 2015.http://www.piie.org/icpr23/downloads/04%20Bauer.pdf
- [5] Zug, S., Wilske, S., Steup, C., & Lüder, A., "Online Evaluation Of Manipulation Tasks For Mobile Robots İn Industry 4.0 Scenarios", IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA), Luxembourg: IEEE, 1-7, 2015.
- [6] Zhou, K., Liu, T., & Zhou, L., "Industry 4.0: Towards Future Industrial Opportunities And Challenges", 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), Zhangjiajie: IEEE, 2147-2152, 2015.
- [7] Niesen, T., Houy, C., Fettke, P., & Loos, P., "Towards An Integrative Big Data Analysis Framework For Data-Driven Risk Management In Industry 4.0", 49th Hawaii International Conference on System Sciences (HICSS), Koloa: IEEE, 5065-5074, 2016.
- [8] Papakostas, N., O'Connor, J., & Byrne, G., "Internet Of Things Technologies In Manufacturing: Application Areas, Challenges And Outlook, International Conference on Information Society (i-Society), IEEE, 126-131, 2016.
Ayrıntılar
Birincil Dil
İngilizce
Konular
Mühendislik
Bölüm
Araştırma Makalesi
Yazarlar
Şebnem Özdemir
0000-0001-7231-7902
Türkiye
Birgit Oberer
Bu kişi benim
0000-0001-7231-7902
Türkiye
Yayımlanma Tarihi
19 Aralık 2018
Gönderilme Tarihi
22 Temmuz 2018
Kabul Tarihi
19 Ekim 2018
Yayımlandığı Sayı
Yıl 2018 Cilt: 4 Sayı: 2