Ergonomic Risk Management Model using Rula, Niosh and Ocra Techniques in a metalworking SME (#1838)

Authors

Flores Limas, Nhalith Madelyn

Mariátegui Vega, Ariana Lucía

Chavez-Ugaz, Rafael

Abstract

In the metal-mechanical sector, where activities such as the assembly and construction of metal structures with large machinery are carried out, workers are exposed to various risk factors that can generate serious consequences if not properly controlled and managed. The objective of this research is to determine occupational risk prevention techniques that can significantly improve the performance and efficiency of processes in the metalworking industry. Four phases were developed, the first presents the diagnosis that considers the initial proposal, followed by the action plan together with the redesign of the process, the third shows the implementation where the improvement is presented, and the last one corresponds to the validation. After the implementation of the pilot plans and the simulation performed with Arena, we obtained an increase of 32.64% on productive efficiency.