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Artificial intelligence in manufacturing and production

Hemant Kumar Yadav, Shailesh Yadav

Year
2025
Citations
3

Abstract

Manufacturing and production are undergoing transformation with artificial intelligence (AI), which makes processes effective and more flexible. This chapter explores the vital role that AI technologies play in important domains like control, process optimization, and predictive maintenance. Manufacturers can improve product quality, manage resource allocation, and anticipate equipment problems using AI-driven systems that analyze data in real time. AI-enabled supply chains enhance demand forecasting and logistics, while the integration of robotics and automation is expanding manufacturing capabilities, allowing for mass customization and the use of collaborative robots that collaborate directly with humans. Along with the developments, the chapter discusses the ethical implications of adopting AI, such as how it may affect employment, privacy issues with data, and possible biases in algorithmic decision-making and highlights the need for workers to learn new skills to keep up with the rapidly evolving industry. This chapter gives an overview of how AI is impacting on the manufacturing and production sector, discussing both the current applications and the challenges that need to be addressed for AI to reach its full potential in production.

Keywords

Production (economics)Manufacturing engineeringComputer scienceEngineeringEconomics

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