Artificial intelligence and participation in environmental protection, industry, and society

Abstract

Cleaner production is considered one of the essential means for manufacturing companies to achieve sustainable production and improve their competitive advantage. However, implementing the cleaner production strategy faces obstacles, such as the need for comprehensive data and valuable insights that can be used to provide better support in making optimization decisions in product lifecycle management and throughout the cleaner production process. Fortunately, with the extensive use of intelligent sensing devices in cleaner production, a large amount of real-time, multi-source lifecycle big data can now be collected. This paper presents results obtained in terms of proposals for cleaner production in areas such as the use of materials, the use of artificial intelligence, and obstacles to its use within the social and industrial world.