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Enabling real time big data solutions for manufacturing at scale

  • Altan Cakir*
  • , Özgün Akın
  • , Halil Faruk Deniz
  • , Ali Yılmaz
  • *Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: Dergiye katkıMakalebilirkişi

23 Atıf (Scopus)

Özet

Today we create and collect more data than we have in the past. All this data comes from different sources, including social media platforms, our phones and computers, healthcare gadgets and wearable technology, scientific instruments, financial institutions, the manufacturing industry, news channels, and more. When these data are analyzed in a real-time nature, it offers businesses the opportunity to take quick action in business-development processes (B2B, B2C), gain a different perspective, and better understand applications, creating new opportunities. While changing their sales and marketing strategies, businesses are now able to manage the data they collect in real-time to transform themselves, to record them in a healthy way, to analyze and evaluate data-based processes, and to determine their digital transformation roadmaps, their interactions with their customers, sectoral diffraction, application, and analysis. They want to accelerate the transformation processes within the technology triangle. Thus, big data, recently called as small and wide data, is at the center of everything and becomes an important application for digital transformation. Digital transformation helps companies embrace change and stay competitive in an increasingly digital world. The value of big data in manufacturing, independent from sectoral variations, comes from its ability to combine both in an organization’s efforts to both digitize and automate its end-to-end business operations. In this study, the current digitalization and automation applications of one of the plastic injection-based manufacturing companies at scale will be discussed. Presented open-source-based big data analytics platform, DataCone, that increases data processing efficiency, storage optimization, encourages innovation for real time monitorization and analytics, and support new business models in different industry segments will be demonstrated and discussed. Thus, development and applied ML solutions will be discussed providing important prospects for the future.

Orijinal dilİngilizce
Makale numarası118
DergiJournal of Big Data
Hacim9
Basın numarası1
DOI'lar
Yayın durumuYayınlandı - Ara 2022

Bibliyografik not

Publisher Copyright:
© 2022, The Author(s).

Finansman

It is dedicated to the memory of my beloved father, Süleyman Turhan Çakır, who has always supported me throughout my life.

BM SKH

Bu sonuç, aşağıdaki Sürdürülebilir Kalkınma Hedefine/Hedeflerine katkıda bulunur

  1. SKH 9 - Sanayi, Yenilikçilik ve Altyapı
    SKH 9 Sanayi, Yenilikçilik ve Altyapı

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