Publicação

Identification of the major trends in current maintenance policies using lDA methodology for semantic analysis of the published research results

Ver documento

Detalhes bibliográficos
Resumo: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.
Autores principais:Putnik, Goran D.
Outros Autores:Varela, M.L.R.; Pinheiro, Pedro José Araújo; Maia, Sara; Alves, Cátia Filipa Veiga
Assunto:Latent Dirichlet Allocation (LDA) Maintenance Policies Semantic analysis
Ano:2024
País:Portugal
Tipo de documento:artigo
Tipo de acesso:acesso aberto
Instituição associada:Universidade do Minho
Idioma:inglês
Origem:RepositóriUM - Universidade do Minho
Descrição
Resumo: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.