This journal focuses on the application of data-driven methods, including machine learning and artificial intelligence, to optimize and control manufacturing processes. Key areas include additive manufacturing, particularly Laser Powder Bed Fusion (LPBF), for metal component production, and machining processes like milling. The scope also encompasses predictive frameworks for process improvement, digital twin technology for geometric accuracy, and scheduling methods for complex production lines.
Industrial and Manufacturing EngineeringSoftwareArtificial Intelligence
Research Topics (OpenAlex)
Manufacturing Process and OptimizationScheduling and Optimization AlgorithmsIndustrial Vision Systems and Defect DetectionAdvanced Manufacturing and Logistics OptimizationAdvanced machining processes and optimizationFlexible and Reconfigurable Manufacturing SystemsDigital Transformation in IndustryAssembly Line Balancing OptimizationProduct Development and CustomizationFault Detection and Control Systems