Pons Murguía, Ramón ÁngelVilla González del Pino, Eulalia MaríaPérez Olivera, HaroldPombar Vallejos, Pedro Galo2018-09-032018-09-032017Revista Journal of Engineering and Technology Vol. 6 N. 12256-3903http://hdl.handle.net/10567/2060The 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.esCorporación Universitaria LasallistaFacultad de IngenieríasComportamiento humanoGestión por procesosMejoramiento continuoAnálisis de riesgosError humanoFiabilidad humanaArticle