AI in Smart Manufacturing: Optimizing Production and Supply Chains

Abstract

AI-driven manufacturing solutions are enhancing automation, quality control, and predictive maintenance in industrial settings. This paper explores AI techniques such as computer vision, digital twins, and reinforcement learning for optimizing production lines and supply chains. Challenges like high implementation costs, workforce adaptation, and system integration are discussed. Case studies highlight AI-driven smart factories, demonstrating increased productivity, reduced waste, and enhanced operational efficiency.