Data Analytics in Manufacturing

M. Sami Sivri*, Basar Oztaysi

*Bu çalışma için yazışmadan sorumlu yazar

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10 Atıf (Scopus)

Özet

Development of technology has emerged a new concept, Industry 4.0. It has come with two technological improvements, Cyber-Physical System (CPS) and Internet of Things (IoT) that drive manufacturing companies to Data Analytics by generating the huge amount data. In terms of Industry 4.0, data analytics focus on “what will happen” rather than “what has happened”. These problems are entitled as predictive analytics and aims at building models for forecasting future possibilities or unknown events. The aim of this paper is to give insight about these techniques, provide applications from the literature and show a real world case study from a manufacturing company.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıSpringer Series in Advanced Manufacturing
YayınlayanSpringer Nature
Sayfalar155-172
Sayfa sayısı18
DOI'lar
Yayın durumuYayınlandı - 2018

Yayın serisi

AdıSpringer Series in Advanced Manufacturing
ISSN (Basılı)1860-5168
ISSN (Elektronik)2196-1735

Bibliyografik not

Publisher Copyright:
© 2018, Springer International Publishing Switzerland.

Finansman

Acknowledgements This work is supported by Scientific and Technological Research Council of Turkey (TUBİTAK), TEYDEB 1507, Grant No: 7141451.

FinansörlerFinansör numarası
Türkiye Bilimsel ve Teknolojik Araştırma Kurumu7141451

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