Integrating Machine Learning and Computational Intelligence for Green Manufacturing Processes

The chapter is focused on integrating machine learning and computational intelligence into green manufacturing processes. ML and CI offer data-driven solutions toward industries strive for reduced environmental impacts through resource usage, energy consumption, and waste reduction, among others. This chapter will focus on some very prominent algorithms, such as neural networks, reinforcement learning, and fuzzy logic, and their applications in predictive maintenance, process optimization, and supply chain management for sustainability. The chapter relates the integration of ML and CI in achieving eco-friendly manufacturing goals—reduction of carbon footprint and improvement in operational efficiency—through case studies and practical examples. It discusses the role played by digital twins, IoT integration, and AI-driven decision-making in enabling adaptive and resilient manufacturing systems. The chapter is concluded by future trends and challenges to implement these technologies on a larger scale for the transformation of industry in a sustainable way.