ABSTRACT
ABSTRACT: This paper presents an overview of different maintenance strategies widely discussed in the industry by consolidating the results and inferences from a wide range of research articles. This information will be useful to maintenance personnel during the selection and execution of maintenance activities to realize the concept of Industry 4.0. The paper follows a combined meta-analytic and descriptive procedure for reviewing articles that have provided path-breaking contributions in maintenance engineering and management. Details of top-cited research articles related to maintenance are downloaded from the Web of Science database to carry out the meta-analysis. A text analytic tool called BibExcel is utilized for fetching and analyzing textual information. Subsequently, a close examination of significant papers that describes different types of maintenance strategies is analyzed by following the descriptive review procedure to report the advantages and limitations of each strategy. Accordingly, it is found that predictive maintenance strategy is more aligned with the objectives of Industry 4.0. Hence, an emphasis is placed on predictive maintenance techniques and tools since this approach is gaining more attention as a result of advancements in soft computation, cloud technology, data analytics, machine learning and artificial intelligence.
