(Corporación Universitaria Lasallista, 2017) Pons Murguía, Ramón Ángel; Villa González del Pino, Eulalia María; Pérez Olivera, Harold; Pombar Vallejos, Pedro Galo
The probabilistic risk analysis applied to the
improvement of socio - technical processes
and systems demonstrates the importance
of human error quantification; although its
accuracy is doubtful. Current techniques
for the modeling and calculation of human
errors presuppose the choice of partial
or general human behavior models, which
have limitations because they still lack
methodological development. At present, any
effort to improve the reliability of a production
process or system has a great niche of
possible achievements in human action, so
that from its inception it must include the
identification of undesired events produced
by human action and the defining of actions
to eliminate their recurrence, or to mitigate
their consequences when the associated risk
is tolerable. For this reason, an integrated
approach is required, including a general
diagnosis based on human error quantification
techniques, which must be coherent with
the design of improvement solutions, their
implementation and the monitoring of their
results. This article shows how to apply this
integrated approach, in order to eliminate
or mitigate and control the effects of human
error in productive processes, from a broader
view than the one used so far.
