Descripción
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Risk of human error in measurement and testing is the result of the causal combination of factors and events that are involved in the process. This paper presents how to model technical and human errors and how these could interact in order to influences the reliability of measurement/test. Human errors were designed according with a System Dynamics approach with factors and states those are part of human?s state and ability to handle with the process and procedures and instruments. Technical errors were related to the environment, its organization and suitability with standards. Human and Technical factors have been therefore integrated in order to predict states affecting the consistency of measure and uncertainty in range. Optimal combination of factors - based on a System Dynamics simulation and expert judgments - has been proposed according with a sampling analysis. | |
Internacional
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Si |
Nombre congreso
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Manufacturing Engineering Society International Conference 2017, MESIC 2017, 28-30 June 2017 |
Tipo de participación
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960 |
Lugar del congreso
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Vigo (Pontevedra), Spain |
Revisores
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Si |
ISBN o ISSN
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2351-9789 |
DOI
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10.1016/j.promfg.2017.09.092 |
Fecha inicio congreso
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28/06/2017 |
Fecha fin congreso
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30/06/2017 |
Desde la página
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1320 |
Hasta la página
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1327 |
Título de las actas
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Book of abstracts Manufacturing Engineering Society International Conference 2017 (MESIC2017) . Transforming knowledge towards manufacturing 4.0 Ares Gómez, J. Enrique / Salgueiro Gómez, Jorge / Fernández López, Fco. Javier / Pelaez Lourido, Gustavo |