Model of human reliability for manual workers in assembly lines

Abstract

This study presents the construction of a human reliability model for assembly line manual workers, using Cox's Proportional Risk model. Nine factors were identified in 120 assembly line operators using psychometric tests. Subsequently, the factors of stress, motivation, memory, and personality were identified, using a multiple linear regression analysis, as those that significantly contribute to the occurrence of human error and, together, are considered as the worker's operational environment. The parameters were defined for the distribution of base failures for modeling the rate of human risk. The model obtained enables the establishment of the contribution of each factor to the probability that human errors will be committed within a determined period of time.

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