The ever-present challenge of optimizing production efficiency and maintenance effectiveness lies at the heart of a company's smooth operations. These two functions are intricately linked, with efficient production relying on well-maintained equipment and effective maintenance minimizing production disruptions. In this context, it is important to analyze the methods used to optimize these two services as part of the evolution of artificial intelligence (AI) tools. In this regard, based on recent literature, the main objective of this paper is to present an overview of the evolution of the use of AI tools in the optimization of maintenance and production. It also studied the AI tools most recommended by researchers. For this purpose, we will successively analyze the sorting and classification of the recent literature according to the established criteria, then, we will present and discuss the AI methods used for the optimization of maintenance and production, to conclude with a conclusion of the bibliography and the suggestions for future research.
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Soudani et al. (2024) studied this question.
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