Role of Machine Learning in Sustainable Manufacturing Practices: An Outline

The present research examines the potential of machine learning (ML) to improve sustainability and lessen harmful environmental effects across various industries. The paper discusses ML’s uses in sustainable manufacturing practices (SMP), such as supply chain management, waste management, energy efficiency, equipment maintenance, water quality management, and other fields. The investigations show how ML approaches may be used to forecast equipment failure, lower carbon footprints, optimize resource use, and improve water quality. The study highlights the benefits of utilizing ML to increase sustainability, including real-time data, simplified processes, lower costs, and a sustainable future while admitting the difficulties and limits of ML techniques. The article ends by recommending enterprises and the industrial sector explore the prospect of using ML to attain their goals for sustainability.