Human learning and forgetting: How it happens and what it looks like are widely studied in a variety of disciplines. Consequently, there is a wealth of research on learning curves (LCs). LCs are a useful tool for managerial decision-making in maintenance because they may characterize how workers’ performance improves as a result of practice or repetition. Human learning is crucial for labour-intensive industrial companies, particularly those with high labour costs. Furthermore, even in an industry that is not labour-intensive, technology and organizational learning are commonplace in many firms. Therefore, it should come as no surprise that research in this crucial field is still published in the maintenance literature, even in light of the abundance of earlier studies on learning curves. However, a thorough and methodical analysis of the literature research has never been conducted. The objective of this bibliography is to find out a broad summary of maintenance learning curves. It outlines this particular study field, summarizes its conclusions, identifies its main areas of application, and considers potential future research avenues. In order to accomplish this, a thorough literature study on the uses of learning curves in maintenance is presented in this paper. Initially, a framework comprising standard learning curve (LC) models is created. Following that, the essential qualities of learning curves and their uses in maintenance are noted. The literature is categorized using this methodology. In addition, this study discusses the most significant and instructive papers in each of the main categories and points out potential future research directions.