Dataset Supporting a CRISP-DM-Based Framework for Eco-Efficiency, Circular Economy, and Artificial Intelligence in Manufacturing Systems

This dataset supports the study proposing an integrated CRISP-DM-based methodological framework for eco-efficiency, circular economy, and artificial intelligence in manufacturing systems. It contains the final bibliographic corpus used in the literature analysis, including 23 selected studies, as well as the structured data underlying the eco-efficiency and circularity indicators and the relationship between environmental problems and potential artificial intelligence and data-analytics techniques presented in the manuscript. The repository also includes the graphical representation of the proposed CRISP-DM methodological framework. These materials are provided to improve transparency, traceability, and reproducibility of the literature analysis and methodological framework presented in the study.