This book reports on cutting-edge research and developments in manufacturing, giving a special emphasis to intelligent, agile and sustainable solutions. It covers applications of machine learning in manufacturing and advances in cyber-physical systems, human-robot collaboration, and machine tools and assembly systems. It also reports on advances in logistics and supply chain, and lean manufacturing. Based on the proceedings of the 33rd International Conference on Flexible Automation and Intelligent Manufacturing (FAIM2025), held on 2124, 2025, in New York City, NY, USA, this second volume of a 2-volume set provides academics and professionals with extensive, technical information on trends and technologies in manufacturing, yet it also discusses challenges and practice-oriented experience in all the above-mentioned areas.

Reports on advances in smart and additive manufacturing Highlights advances in computer vision and intelligence technology for improving industrial processe Second volume of a 2-volume set

Inhalt

.- Application of Ensemble Learning to Classify Failures in Lithium-ion Batteries.- Implementation of a Reinforcement Learning Application for Production Scheduling Including Practical Constraints.- Prediction of Machined Surface Roughness Using Cutting Load and Machining History Data.- Prediction of Tensile Strength and Impact Strength in Fused Deposition Modeling Using a Machine Learning Pipeline, etc.