Abstract:
Flexibility and creative thinking are crucial in the industrial sector. This recent development is expected to lead to eco-friendly manufacturing that utilises emerging technology. Global perspectives on smart production application technologies are essential for promoting sustainable development. Extensive research in artificial intelligence (AI) has led to the creation of a variety of AI-based techniques, one of which is machine learning. These AI-based approaches are now being used in the industry to promote sustainable manufacturing practises. Lean manufacturing is one of the approaches that is attempted to be used.The purpose of this study was to conduct an in-depth analysis of the existing academic literature about the use of artificial intelligence (AI) and machine learning (ML) in business environments. The project's overall objective was to do this. In this day and age of Industry 4.0, artificial intelligence (AI) as well as machine learning are regarded as the most important drivers of the transition of traditional factories into smart factories. This study was conducted with the intention of categorising the existing body of literature according to a number of different criteria, such as the year of publication, authors, scientific field, country, and institution. Keywords were also taken into consideration. For the purpose of conducting the inquiry, both Web of Science and SCOPUS were consulted as sources of information. For the successful completion of the tasks, the software packages UCINET and NVivo 12 were applied. The empirical studies in the fields of machine learning (ML) and artificial intelligence (AI) that were published in the past century were the focus of a literature evaluation that was carried out. The purpose was to examine the evolution of the subject matter before and after the introduction of Industry 4.0, which commenced in 1999 and is ongoing. The evaluation and categorization of eighty-two articles was completed. A bigger number of works have been published in the United States, and there has been an increase in interest since the start of Industry 4.0. This is the first fascinating outcome.
