Intelligent System Modeling in Industrial 4.0

Intelligent systemIntelligent system modelling and simulation plays crucial role in Industrial 4.0 (IR4.0) and Industrial 5.0 (Society 5.0). This intelligent system will fill the gap in fulfilling some Sustainability Development Goals (SDGsSustainability Development Goals (SDGs)) towards 2030. This chapter will provide the discussion and elaboration on intelligent system modelling and simulationModelling and simulation by leveraging various techniques such as machine learning, deep learning, and cloud computing in IR4.0. Machine learning and deep learning are essential for analyzing large datasets, identifying patterns, and making real-time decisions. These technologies enable predictive maintenance, quality control, and process optimization, significantly improving operational efficiency and reducing costs. On the other hand, cloud computing provides the necessary infrastructure to support these advanced analytics techniques. By offering scalable computing resources and storage, cloud platforms enable the deployment of machine learning and deep learning models at scale. This ensures that businesses of all sizes can access cutting-edge technologies without extensive hardware investments. Additionally, cloud computing facilitates real-timeReal-time data processing and collaboration, crucial for the dynamic and interconnected environments of IR4.0. This chapter explores the integration of machine learning, deep learning, and cloud computing in intelligent system modelling and simulation, showcasing their combined potential to drive innovation and efficiency in industrial operations. Through this integration, industries can achieve more sustainable and resilient processes, contributing significantly to the attainment of the SDGs.