MAKİNELERİN ÖĞRENENDEN KARAR VERİCİYE DÖNÜŞÜMLERİ: ENDÜSTRİ 4.0 VE BÜYÜK VERİ

Year 2018, Volume: 4 Issue: 2, 219 - 223, 19.12.2018

Şebnem Özdemir , Alptekin Erkollar , Birgit Oberer

https://doi.org/10.22531/muglajsci.463474

Abstract

Endüstrileşmenin
tarihsel yolculuğuna bakıldığında, her teknolojik değişim ve yenilik nedeniyle
paradigma kayması yaşandığı görülmektedir. Endüstriyel devrim olarak
adlandırılan bu paradigma kaymaları, merkezi; mekanikten elektrik enerjisine,
elektrik enerjisinden elektronik ve otomasyona değiştirmiştir. Günümüz
ekonomisi, toplumsal, ekonomik, teknolojik ve politik değişiklikler tarafından
tetiklenen dördüncü endüstriyel devrim ile yüzleşmek üzeredir. Endüstri 4.0
olarak bilinen bu devrimin temelinde, akıllı üretim, üretimde siber fiziksel
sistemlerin uygulanması (CPS) nesnelerin interneti, bulut bilişim, büyük veri
bulunmaktadır. Kavram sayesinde üretim süreçlerindeki farklılığa ek olarak,
kişiselleştirilmiş ürün ve hizmetlerin ortaya çıkarılması planlanmaktadır. Tüm
bunların yerine getirilebilmesi ortamın, inovasyon ve öğrenme bakımından
süreklilik kazanmasına bağlıdır. Bu süreklilik ise ancak üretim sürecine
giren-çıkan, üretim sürecini dolaylı ya da doğrudan etkileyebilecek her verinin
analiz edilebilmesi ile sağlanacaktır. Klasik fabrikalar için rekabet avantajı
sağlayan verinin analizi; söz konusu akıllı fabrika olduğunda büyük veri
analitiklerine evrilecek ve rekabet avantajının ötesinde zorunluluk haline
dönüşecektir. Bu açıdan değerlendirildiğinde büyük verinin Endüstri 4.0 kavramı
içindeki yeri ve üretim süreçlerinden nitelikli insan kaynağına kadar her
paydaş üzerindeki etkisi dikkatli bir biçimde incelenmelidir. Bu çalışmada
Endüstri 4.0 kavramı altında büyük verinin rolü ve etkinliği, endüstriyel
örnekler ve siber-fiziksel sistem mimarisi bakımından sunulmaktadır.

Keywords

Endüstri 4.0, Akıllı Fabrikalar, Büyük Veri Analitikleri

TRANSFORMATION OF THE MACHINES FROM LEARNER TO DECISION MAKER: INDUSTRY 4.0 AND BIG DATA

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.

Keywords

Industry 4.0, Smart Factory

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