Models for maintenance planning and scheduling – a citation-based literature review and content analysis

What is it about?

Recently, research on maintenance and scheduling has gradually become one of the leading subjects for all industries, including manufacturing and processing. Maintenance planning and scheduling yield many operational and financial benefits by improving the reliability, sustainability, and availability of the system. This study aims to synthesize, categorize, and analyze the main trends seen in peer-reviewed published literature related to preventive maintenance and scheduling using Bibliometric Analysis. Using the proposed framework seen in this study, we have efficiently collected and analyzed 1021 articles from peer-reviewed treatises, focusing on a time period of 1986 - 2020. Additionally, an exploratory analysis has been conducted to extract the different characteristics of published papers concerning topics such as; publication growth, influential authors, productive countries, influential sources, and influential publications. The analysis provides an estimation of the relevance of these research themes. Further network analysis has also been conducted to perform co-citation analysis, which aids in specifying research fronts that are attracting large numbers of citations by the scientific community. Furthermore, this study is enhanced with content analysis of the main influential groups pertaining to each cluster (of topics). Findings from the proposed systematic analysis aid in illustrating how research publication has developed over time and provide a robust guideline for future research in this field.

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