IDENTIFICATION OF THE MAJOR TRENDS IN CURRENT MAINTENANCE POLICIES USING LDA METHODOLOGY FOR SEMANTIC ANALYSIS OF THE PUBLISHED RESEARCH RESULTS

Abstract

This paper presents a semantic analysis of a collection of articles on maintenance policies through the Latent Dirichlet Allocation (LDA) methodology. The research comprises two periods. The first, from 2000 and 2018, aims to reveal the habits of organizational maintenance policies before the second period, from 2019 to 2023, and verify the differences in current trends in maintenance policies compared to the past. With technologies associated with cyber-physical systems and Industry 4.0, a change in organizational models and maintenance policies is expected. The results obtained through the LDA methodology show changes in the maintenance design, namely the intensification of the maintainability concept, schedule optimization, and the integration of technologies enablers of smart production.

Keywords

• maintenance policies
• semantic analysis
• latent dirichlet allocation (lda)