Abstract
Data analytics has become a transformative tool in the manufacturing industry, enabling process improvements through real-time data analysis and informed decision-making. This article explores how data analytics techniques, including descriptive, predictive, and prescriptive analytics, are applied to manufacturing processes to enhance productivity, optimize resource allocation, and improve quality control. We discuss the role of data-driven decision-making in streamlining operations, reducing waste, and ensuring efficient use of resources. Additionally, the paper examines real-world applications and the challenges of integrating data analytics into traditional manufacturing systems.
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