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Santa Bárbara d'Oeste, Brazil

Ribeiro N.P.,Pontifical Catholic University of Rio de Janeiro | Szwarcman D.M.,Centro Universitario Estadual da Zona Oeste Uezo | Vellasco M.B.R.,Pontifical Catholic University of Rio de Janeiro | Tanscheit R.,Pontifical Catholic University of Rio de Janeiro
Boletim Tecnico da PETROBRAS

This work presents a characterization system for human reliability based on fuzzy methodology, which aims at reducing the possibility of human error. Developed for the activities of operation, maintenance and inspection of units for the processing, production and distribution of oil, the system utilizes as a basis the guide for reduction of human errors (Lorenzo, 2001), which identifies 64 factors of human performance. This system is not restricted to oil refineries, and may be employed in diverse industrial activities (nuclear and chemical industries, for example). To evaluate the possibilities of expected human failure, the model analyses the elements that interact with each operator. The methodology allows it to: calculate a human reliability index; recognize the gaps that constitute latent causes for the possibility of human error; formulate strategies to control the potentially adverse impacts of interactions, which add uncertainty and complexity to the process; carry out a study into technical procedures and the information present in the cognitive elements of the operators, and finally, help in the creation of greater synergy in the work shifts – given that the cognitive demands of the procedures, the cognitive characteristics of the operators and the actions that contribute most to human error are all known. © 2012, Petroleo Brasileiro S.A. All rights reserved. Source

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