Enabling Big Data Analytics at Manufacturing Fields of Farplas Automotive

Özgün Akın; Halil Faruk Deniz; Doğukan Nefis; Alp Kızıltan; Altan Çakır

doi:10.1007/978-3-030-51156-2_94

Enabling Big Data Analytics at Manufacturing Fields of Farplas Automotive

Özgün Akın^*
, Halil Faruk Deniz
, Doğukan Nefis
, Alp Kızıltan
, Altan Çakır

^*Bu çalışma için yazışmadan sorumlu yazar

Fizik Mühendisliği Bölümü

Farplas Otomotiv

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

5 Atıf (Scopus)

Özet

Digitization and data-driven manufacturing process is needed for today’s industry. The term Industry 4.0 stands for the today industrial digitization which is defined as a new level of organization and control over the entire value chain of the life cycle of products; it is geared towards increasingly individualized customer’s high-quality expectations. However, due to the increase in the number of connected devices and the variety of data, it has become difficult to store and analyze data with conventional systems. The motivation of this paper is to provide an overview of understanding of the big data pipeline, providing a real-time on-premise data acquisition, data compression, data storage and processing with Apache Kafka and Apache Spark implementation on Apache Hadoop cluster, and identifying the challenges and issues occurring with implementation the Farplas manufacturing company, which is one of the biggest Tier 1 automotive suppliers in Turkey, to study the new trends and streams related to topics via Industry 4.0.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Intelligent and Fuzzy Techniques
Ana bilgisayar yayını alt yazısı	Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference
Editörler	Cengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, Selcuk Cebi, A. Cagri Tolga
Yayınlayan	Springer
Sayfalar	817-824
Sayfa sayısı	8
ISBN (Basılı)	9783030511555
DOI'lar	https://doi.org/10.1007/978-3-030-51156-2_94
Yayın durumu	Yayınlandı - 2021
Etkinlik	International Conference on Intelligent and Fuzzy Systems, INFUS 2020 - Istanbul, Turkey Süre: 21 Tem 2020 → 23 Tem 2020

Yayın serisi

Adı	Advances in Intelligent Systems and Computing
Hacim	1197 AISC
ISSN (Basılı)	2194-5357
ISSN (Elektronik)	2194-5365

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???event.eventtypes.event.conference???	International Conference on Intelligent and Fuzzy Systems, INFUS 2020
Ülke/Bölge	Turkey
Şehir	Istanbul
Periyot	21/07/20 → 23/07/20

Bibliyografik not

Publisher Copyright:
© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

BM SKH

Bu sonuç, aşağıdaki Sürdürülebilir Kalkınma Hedefine/Hedeflerine katkıda bulunur

SKH 9 Sanayi, Yenilikçilik ve Altyapı

Belgeye Erişim

10.1007/978-3-030-51156-2_94

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Akın, Ö., Deniz, H. F., Nefis, D., Kızıltan, A., & Çakır, A. (2021). Enabling Big Data Analytics at Manufacturing Fields of Farplas Automotive. In C. Kahraman, S. Cevik Onar, B. Oztaysi, I. U. Sari, S. Cebi, & A. C. Tolga (Eds.), Intelligent and Fuzzy Techniques: Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference (pp. 817-824). (Advances in Intelligent Systems and Computing; Hac. 1197 AISC). Springer. https://doi.org/10.1007/978-3-030-51156-2_94

Akın, Özgün ; Deniz, Halil Faruk ; Nefis, Doğukan et al. / Enabling Big Data Analytics at Manufacturing Fields of Farplas Automotive. Intelligent and Fuzzy Techniques: Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference. editör / Cengiz Kahraman ; Sezi Cevik Onar ; Basar Oztaysi ; Irem Ucal Sari ; Selcuk Cebi ; A. Cagri Tolga. Springer, 2021. pp. 817-824 (Advances in Intelligent Systems and Computing).

@inproceedings{3604b25e67bb467690db8cabbc291357,

title = "Enabling Big Data Analytics at Manufacturing Fields of Farplas Automotive",

abstract = "Digitization and data-driven manufacturing process is needed for today{\textquoteright}s industry. The term Industry 4.0 stands for the today industrial digitization which is defined as a new level of organization and control over the entire value chain of the life cycle of products; it is geared towards increasingly individualized customer{\textquoteright}s high-quality expectations. However, due to the increase in the number of connected devices and the variety of data, it has become difficult to store and analyze data with conventional systems. The motivation of this paper is to provide an overview of understanding of the big data pipeline, providing a real-time on-premise data acquisition, data compression, data storage and processing with Apache Kafka and Apache Spark implementation on Apache Hadoop cluster, and identifying the challenges and issues occurring with implementation the Farplas manufacturing company, which is one of the biggest Tier 1 automotive suppliers in Turkey, to study the new trends and streams related to topics via Industry 4.0.",

keywords = "AI in manufacturing, Apache Hadoop, Apache Kafka, Apache Ni-Fi, Apache Spark, Big data, Industry 4.0, MQTT, OPC",

author = "{\"O}zg{\"u}n Akın and Deniz, \{Halil Faruk\} and Doğukan Nefis and Alp Kızıltan and Altan {\c C}akır",

note = "Publisher Copyright: {\textcopyright} 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.; International Conference on Intelligent and Fuzzy Systems, INFUS 2020 ; Conference date: 21-07-2020 Through 23-07-2020",

year = "2021",

doi = "10.1007/978-3-030-51156-2\_94",

language = "English",

isbn = "9783030511555",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer",

pages = "817--824",

editor = "Cengiz Kahraman and \{Cevik Onar\}, Sezi and Basar Oztaysi and Sari, \{Irem Ucal\} and Selcuk Cebi and Tolga, \{A. Cagri\}",

booktitle = "Intelligent and Fuzzy Techniques",

address = "Germany",

}

Akın, Ö, Deniz, HF, Nefis, D, Kızıltan, A & Çakır, A 2021, Enabling Big Data Analytics at Manufacturing Fields of Farplas Automotive. in C Kahraman, S Cevik Onar, B Oztaysi, IU Sari, S Cebi & AC Tolga (eds), Intelligent and Fuzzy Techniques: Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference. Advances in Intelligent Systems and Computing, hac. 1197 AISC, Springer, pp. 817-824, International Conference on Intelligent and Fuzzy Systems, INFUS 2020, Istanbul, Turkey, 21/07/20. https://doi.org/10.1007/978-3-030-51156-2_94

Enabling Big Data Analytics at Manufacturing Fields of Farplas Automotive. / Akın, Özgün; Deniz, Halil Faruk; Nefis, Doğukan et al.
Intelligent and Fuzzy Techniques: Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference. ed. / Cengiz Kahraman; Sezi Cevik Onar; Basar Oztaysi; Irem Ucal Sari; Selcuk Cebi; A. Cagri Tolga. Springer, 2021. p. 817-824 (Advances in Intelligent Systems and Computing; Hac. 1197 AISC).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - Enabling Big Data Analytics at Manufacturing Fields of Farplas Automotive

AU - Akın, Özgün

AU - Deniz, Halil Faruk

AU - Nefis, Doğukan

AU - Kızıltan, Alp

AU - Çakır, Altan

PY - 2021

Y1 - 2021

N2 - Digitization and data-driven manufacturing process is needed for today’s industry. The term Industry 4.0 stands for the today industrial digitization which is defined as a new level of organization and control over the entire value chain of the life cycle of products; it is geared towards increasingly individualized customer’s high-quality expectations. However, due to the increase in the number of connected devices and the variety of data, it has become difficult to store and analyze data with conventional systems. The motivation of this paper is to provide an overview of understanding of the big data pipeline, providing a real-time on-premise data acquisition, data compression, data storage and processing with Apache Kafka and Apache Spark implementation on Apache Hadoop cluster, and identifying the challenges and issues occurring with implementation the Farplas manufacturing company, which is one of the biggest Tier 1 automotive suppliers in Turkey, to study the new trends and streams related to topics via Industry 4.0.

AB - Digitization and data-driven manufacturing process is needed for today’s industry. The term Industry 4.0 stands for the today industrial digitization which is defined as a new level of organization and control over the entire value chain of the life cycle of products; it is geared towards increasingly individualized customer’s high-quality expectations. However, due to the increase in the number of connected devices and the variety of data, it has become difficult to store and analyze data with conventional systems. The motivation of this paper is to provide an overview of understanding of the big data pipeline, providing a real-time on-premise data acquisition, data compression, data storage and processing with Apache Kafka and Apache Spark implementation on Apache Hadoop cluster, and identifying the challenges and issues occurring with implementation the Farplas manufacturing company, which is one of the biggest Tier 1 automotive suppliers in Turkey, to study the new trends and streams related to topics via Industry 4.0.

KW - AI in manufacturing

KW - Apache Hadoop

KW - Apache Kafka

KW - Apache Ni-Fi

KW - Apache Spark

KW - Big data

KW - Industry 4.0

KW - MQTT

KW - OPC

UR - https://www.scopus.com/pages/publications/85088748482

U2 - 10.1007/978-3-030-51156-2_94

DO - 10.1007/978-3-030-51156-2_94

M3 - Conference contribution

AN - SCOPUS:85088748482

SN - 9783030511555

T3 - Advances in Intelligent Systems and Computing

SP - 817

EP - 824

BT - Intelligent and Fuzzy Techniques

A2 - Kahraman, Cengiz

A2 - Cevik Onar, Sezi

A2 - Oztaysi, Basar

A2 - Sari, Irem Ucal

A2 - Cebi, Selcuk

A2 - Tolga, A. Cagri

PB - Springer

T2 - International Conference on Intelligent and Fuzzy Systems, INFUS 2020

Y2 - 21 July 2020 through 23 July 2020

ER -

Akın Ö, Deniz HF, Nefis D, Kızıltan A, Çakır A. Enabling Big Data Analytics at Manufacturing Fields of Farplas Automotive. In Kahraman C, Cevik Onar S, Oztaysi B, Sari IU, Cebi S, Tolga AC, editörler, Intelligent and Fuzzy Techniques: Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference. Springer. 2021. p. 817-824. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-51156-2_94

Enabling Big Data Analytics at Manufacturing Fields of Farplas Automotive

Özet

Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

BM SKH

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap