Big Data Analytics in Smart Manufacturing: Transforming Decision-Making Processes

Abstract

The integration of Big Data Analytics in Smart Manufacturing is revolutionizing decision-making processes by leveraging vast amounts of data generated from various manufacturing systems. This paper explores the critical role of Big Data Analytics in enhancing operational efficiency, optimizing resource utilization, and improving product quality. The research highlights the implementation of advanced analytics tools and techniques, including machine learning, predictive analytics, and real-time data processing, to facilitate informed and timely decision-making. Case studies from diverse manufacturing sectors illustrate the tangible benefits and challenges of adopting Big Data Analytics. The findings underscore the potential of data-driven approaches to transform traditional manufacturing processes, ultimately leading to more agile, efficient, and competitive manufacturing operations. The paper concludes with insights into future trends and the need for continuous innovation in analytics capabilities to fully harness the potential of Big Data in smart manufacturing.