Using Index Function and Artificial Intelligence to assess Sustainability: A Bibliometric analysis

Abstract

Industrial sustainability has increased, focusing on social, economic, and environmental. The aim of this study is to carry out a systematic bibliometric analysis of the existing literature on sustainability indices and artificial intelligence-based tools for measuring and assessing the sustainability of production systems. For this statistical analysis, three scientific databases - Web of Science, Elsevier's Scopus and Dimensions - were used to identify relevant research articles and explore their temporal and geographical distribution. This data sheds light on the development of sustainable manufacturing and encourages future research in this area. This research aims to increase knowledge about sustainable development.