Transformatıon of the machınes from learner to decısıon maker: ındustry 4.0 and bıg data
| dc.authorid | 184780 | en_US |
| dc.authorid | 165054 | en_US |
| dc.authorid | 21055 | en_US |
| dc.contributor.author | Ozdemir, Sebnem | |
| dc.contributor.author | Erkollar, Alptekin | |
| dc.contributor.author | Oberer, Birgit | |
| dc.date.accessioned | 2019-04-24T06:45:14Z | |
| dc.date.available | 2019-04-24T06:45:14Z | |
| dc.date.issued | 2018 | |
| dc.department | İstanbul Beykent Üniversitesi | en_US |
| dc.description.abstract | 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. | en_US |
| dc.identifier.doi | 10.22531/muglajsci.463474 | |
| dc.identifier.issn | 2528-9535 | |
| dc.identifier.trdizinid | 298194 | en_US |
| dc.identifier.uri | https://search.trdizin.gov.tr/yayin/detay/298194 | |
| dc.identifier.uri | https://doi.org/10.22531/muglajsci.463474 | |
| dc.indekslendigikaynak | TR-Dizin | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Mugla Journal of Science and Technology | tr_TR |
| dc.relation.publicationcategory | Makale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
| dc.subject | Industry 4.0 | tr_TR |
| dc.subject | Smart Factory | tr_TR |
| dc.subject | Big Data Analytics | tr_TR |
| dc.title | Transformatıon of the machınes from learner to decısıon maker: ındustry 4.0 and bıg data | en_US |
| dc.type | Article | en_US |
