Big Data in Industry 4.0 and 5.0 for Operational Efficiency and Decision-Making

Abstract

Today's smart manufacturing is influenced by two distinct paradigms: Industry 4.0 heralds the shift toward process automation and digitization while Human centricity is emphasized in Industry 5.0. The entrance of Industry 4.0 has revolutionized the manufacturing and industrial sectors by integrating AI tools and data-driven approaches. A pivotal element of the transformation is the utilization of Big Data, which significantly enhances operational efficiency and decision-making processes. This paper explores the impact of Big Data on Industry 4.0, focusing on how it drives improvements in operational efficiency and supports informed decision-making. Through analysis of experience and current applications, the study demonstrates how Big Data analytics facilitates predictive maintenance, optimizes production processes, and enables real-time monitoring of systems. The findings highlight that leveraging large datasets allows for more precise forecasting, reduced downtime, and enhanced resource management. Furthermore, the paper addresses the challenges associated with Big Data integration, including data security, privacy concerns, and the need for AI analytical skills. By providing a nuanced understanding of these dynamics, the paper offers valuable insights for industries aiming to harness the full potential of Big Data within the Industry 4.0 framework.