Application of big data for the analysis and optimization of production lines

Authors

  • Zhibek Ussembayeva
  • Nurlan Dautkanov
  • Dinara Tlevlessova
  • Saltanat Mussayeva
  • Akmaral Mateyeva

DOI:

https://doi.org/10.21533/pen.v13.i3.475

Abstract

This research was prompted by the need for and rising interest in the expanding use of big data analytics to optimize production lines in the manufacturing business. The best method to improve productivity is to convert data into an achievable analysis. Production processes are growing increasingly complicated, arising from increased demands. Manufacturers of various sorts of goods are discovering substantial value in big data. The use of big data technologies in production lines and beyond is a recent multidisciplinary study integrating advanced computational analysis. The article gives insights into expanding real-time data analysis skills across numerous industrial industries by presenting a detailed assessment of big data technology and data analytics approaches. Using numerous case studies, this article analyses the vital role and advantages that big data analysis and optimization give manufacturers in increasing the efficiency and productivity of production lines in manufacturing.

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Published

2025-07-18

Issue

Section

Articles

How to Cite

Application of big data for the analysis and optimization of production lines. (2025). Periodicals of Engineering and Natural Sciences, 13(3), 551-560. https://doi.org/10.21533/pen.v13.i3.475