Abstract
Artificial Intelligence (AI) is increasingly being integrated into manufacturing processes to optimize decision-making, improve production efficiency, and reduce operational costs. AI-powered systems enable real-time analysis of data from production lines, predictive maintenance, quality control, and supply chain management. This paper explores the role of AI in enhancing decision-making processes in manufacturing environments, focusing on AI algorithms, machine learning techniques, and their applications in manufacturing operations. The paper also discusses the benefits and challenges associated with AI adoption in manufacturing, along with case studies and future trends in AI-driven manufacturing systems.
All articles published in the American Journal of Industrial and Production Engineering (AJIPE) are distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0). This license allows others to copy, distribute, remix, adapt, and build upon the work, even commercially, as long as proper credit is given to the original author(s) and source. Authors are responsible for ensuring that their submissions do not infringe on any third-party copyrights and that all necessary permissions for copyrighted material have been obtained.