TECHNOLOGICAL INNOVATION IN THE APPLICATIONS OF THE REBA METHOD IN COMPANIES: A SYSTEMATIC REVIEW (#428)

Authors

Aparicio-Montenegro, Pablo Roberto

Garcia-Alvarez, Maria Ysabel

De La Cruz Garcia, Andrea

Esparza Silva, Milciades Roberto

Petrlik Azabache, Ivan

Kurokawa-Velásquez, Jimmy

Mejia Ayala, Desmond

Abstract

This systematic review article explores technological innovations in the application of the Rapid Entire Body Assessment (REBA) method to evaluate ergonomic risks in the workplace. The main objective was to analyze how emerging technologies, such as machine learning, computer vision, and sensor systems, have optimized the implementation of the REBA in various business sectors. A search was conducted in the Scopus, Web of Science, and Scielo databases between 2020 and 2024, selecting 30 articles that met the inclusion criteria. The results highlight that the integration of advanced technologies has improved the accuracy, efficiency, and scalability of the REBA method, especially in the manufacturing and service sectors. In addition, relevant studies were identified in countries such as Colombia, Ecuador, and Costa Rica, whose similarities with the Peruvian context make them valuable references. It is concluded that technological innovation has transformed the REBA into a more accessible and effective tool, although further research is needed in sectors such as teleworking.