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Measuring the effectiveness of a near-miss management system: An application in an automotive firm supplier

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  • Andriulo, S.
  • Gnoni, M.G.

Abstract

Accidents and near-miss events are usually characterized by common causes and different consequences; a near-miss event is a potential hazardous condition where the accident sequence was interrupted; these events have common causes with accidents (or injuries), but, differently from the latters near miss consequences are null (or reduced).

Suggested Citation

  • Andriulo, S. & Gnoni, M.G., 2014. "Measuring the effectiveness of a near-miss management system: An application in an automotive firm supplier," Reliability Engineering and System Safety, Elsevier, vol. 132(C), pages 154-162.
    • Handle: RePEc:eee:reensy:v:132:y:2014:i:c:p:154-162
    DOI: 10.1016/j.ress.2014.07.022
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    References listed on IDEAS

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    1. Saleh, Joseph H. & Saltmarsh, Elizabeth A. & Favarò, Francesca M. & Brevault, Loïc, 2013. "Accident precursors, near misses, and warning signs: Critical review and formal definitions within the framework of Discrete Event Systems," Reliability Engineering and System Safety, Elsevier, vol. 114(C), pages 148-154.
    2. Konstandinidou, Myrto & Nivolianitou, Zoe & Kefalogianni, Eirini & Caroni, Chrys, 2011. "In-depth analysis of the causal factors of incidents reported in the Greek petrochemical industry," Reliability Engineering and System Safety, Elsevier, vol. 96(11), pages 1448-1455.
    3. Hale, A.R. & Ale, B.J.M. & Goossens, L.H.J. & Heijer, T. & Bellamy, L.J & Mud, M.L. & Roelen, A. & Baksteen, H. & Post, J. & Papazoglou, I.A. & Bloemhoff, A. & Oh, J.I.H., 2007. "Modeling accidents for prioritizing prevention," Reliability Engineering and System Safety, Elsevier, vol. 92(12), pages 1701-1715.
    4. Khakzad, Nima & Khan, Faisal & Paltrinieri, Nicola, 2014. "On the application of near accident data to risk analysis of major accidents," Reliability Engineering and System Safety, Elsevier, vol. 126(C), pages 116-125.
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    Cited by:

    1. Wang, Fan & Li, Heng & Dong, Chao, 2021. "Understanding near-miss count data on construction sites using greedy D-vine copula marginal regression," Reliability Engineering and System Safety, Elsevier, vol. 213(C).
    2. Azadegan, Arash & Srinivasan, Ravi & Blome, Constantin & Tajeddini, Kayhan, 2019. "Learning from near-miss events: An organizational learning perspective on supply chain disruption response," International Journal of Production Economics, Elsevier, vol. 216(C), pages 215-226.
    3. Westreich, Sara & Perlman, Yael & Winkler, Michael, 2021. "Analysis and Implications of the Management of Near-Miss Events: A Game Theoretic Approach," Reliability Engineering and System Safety, Elsevier, vol. 212(C).

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