AI in Smart Manufacturing: Transforming Production with Predictive Analytics
Author(s): Ravi Kumar Perumallapalli
Publication #: 2411016
Date of Publication: 05.01.2021
Country: USA
Pages: 1-8
Published In: Volume 7 Issue 1 January-2021
Abstract
Artificial Intelligence (AI) is reshaping the landscape of smart manufacturing by driving a paradigm shift through the integration of predictive analytics. AI-enabled predictive models allow manufacturers to anticipate potential machine failures, optimize production schedules, and adjust processes in real-time, significantly improving operational efficiency. This capability to predict and prevent disruptions not only minimizes downtime but also extends equipment life and reduces maintenance costs. Furthermore, AI plays a critical role in optimizing supply chains, managing inventory, and ensuring just-in-time production by analyzing vast datasets and making autonomous decisions. As industries adopt smart manufacturing systems, AI's ability to provide actionable insights from data is transforming traditional reactive approaches into proactive, data-driven strategies. By improving product quality, reducing waste, and enabling more sustainable practices, AI-driven predictive analytics helps manufacturers align with the core principles of Industry 4.0. This paper reviews the latest research in the field, showcases real-world applications, and explores the future trends and challenges in integrating AI technologies, demonstrating how AI's transformative impact is fostering innovation, sustainability, and productivity across the manufacturing sector.
Keywords: AI-driven Predictive Analytics, Smart Manufacturing Systems, Industry 4.0 Innovation
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