Smart Manufacturing: Integrating IoT and AI for Agile Production Management

Production management is being revolutionised by smart manufacturing, which is fuelled by the combination of artificial intelligence (AI) and the Internet of Things (IoT) and allows for quick, data-driven decision-making. Through this interface, producers may use cutting-edge machine learning models and real-time sensor data for process optimisation, quality assurance, and predictive maintenance. Model performance is evaluated using evaluation metrics like accuracy, recall, ROC curves, and AUC in conjunction with machine learning approaches including classification, regression, and time series forecasting. AI-driven systems can enhance production scheduling, anticipate equipment problems, and optimise resource allocation by utilising IoT data. This makes it possible to create agile manufacturing environments that can minimise downtime and react swiftly to changes in demand. The robustness and dependability of these AI models are further improved by the addition of machine learning assessment techniques including learning curves, feature importance, and cross-validation. In the end, this IoT and AI synergy enables manufacturers to attain increased productivity, cost reductions, and adaptability in dynamic production environments.