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

^*Corresponding author for this work

Department of Physics Engineering

Farplas Otomotiv

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Intelligent and Fuzzy Techniques
Subtitle of host publication	Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference
Editors	Cengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, Selcuk Cebi, A. Cagri Tolga
Publisher	Springer
Pages	817-824
Number of pages	8
ISBN (Print)	9783030511555
DOIs	https://doi.org/10.1007/978-3-030-51156-2_94
Publication status	Published - 2021
Event	International Conference on Intelligent and Fuzzy Systems, INFUS 2020 - Istanbul, Turkey Duration: 21 Jul 2020 → 23 Jul 2020

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1197 AISC
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	International Conference on Intelligent and Fuzzy Systems, INFUS 2020
Country/Territory	Turkey
City	Istanbul
Period	21/07/20 → 23/07/20

Bibliographical note

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

Keywords

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

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

Cite this

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; Vol. 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. editor / 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, vol. 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; Vol. 1197 AISC).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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 - http://www.scopus.com/inward/record.url?scp=85088748482&partnerID=8YFLogxK

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, editors, 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

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this