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An Approach to Modelate Human Error on Biodiesel Plants: Analysis of Active Failures and Latent Conditions

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Transactions on Engineering Technologies

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Abstract

During the last decade biodiesel production facilities have had a fast growth all over the world. Production levels and installed capacity have increased continuously to respond the demands of renewable oils. This growth has been accompanied by increasing accident rates. This fact raises the necessity of understand accidental causes in order to eliminate or diminish them. The present study applies the Reason’ Swiss Cheese model of Human Error to a series of accidents that have taken place at biodiesel facilities in the period 2003 to January 2014. It allows identifying the unsafe acts and latent conditions that have conducted to accidents, and implementing tools to manage them.

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Author information

Authors and Affiliations

  1. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET)/CEDIAC Institute, Eng. Faculty, Cuyo National University, Mendoza, Argentina

    R. D. Calvo Olivares & J. E. Núñez Mc Leod

  2. CEDIAC Institute, Eng. Faculty, Cuyo National University, Mendoza, Argentina

    S. S. Rivera

Authors
  1. R. D. Calvo Olivares
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  2. S. S. Rivera
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  3. J. E. Núñez Mc Leod
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Corresponding author

Correspondence to R. D. Calvo Olivares .

Editor information

Editors and Affiliations

  1. Multimedia Engineering College of Engioneering, Mokpo National University, Chonnam, Korea, Republic of (South Korea)

    Gi-Chul Yang

  2. IAENG Secretariat, International Association of Engineers, Hong Kong, Hong Kong SAR

    Sio-Iong Ao

  3. Dept of Applied Mathematics & Computing School of Engineering, Cranfield University, Cranfield, Bedfordshire, United Kingdom

    Len Gelman

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Calvo Olivares, R.D., Rivera, S.S., Núñez Mc Leod, J.E. (2015). An Approach to Modelate Human Error on Biodiesel Plants: Analysis of Active Failures and Latent Conditions. In: Yang, GC., Ao, SI., Gelman, L. (eds) Transactions on Engineering Technologies. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-9804-4_26

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  • DOI: https://doi.org/10.1007/978-94-017-9804-4_26

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-017-9803-7

  • Online ISBN: 978-94-017-9804-4

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