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The competency of organizational safety control structure; a framework for evaluation

Author

Listed:
  • Ahmad Dehghan Nejad

    (Shahid Beheshti University of Medical Science (SBMU))

  • Amirhosein Bahramzadeh

    (Shahid Beheshti University of Medical Sciences (SBMU))

Abstract

The latest generation of accident models demonstrate that the root causes of the systemic accidents in complex sociotechnical systems derive from the system’s inefficient organizational safety control structure; the "structure" that has not adapted itself to the under-controlled dynamic system and, consequently, is not able to control system’s hazardous behaviors. Hence, in this paper, a clear approach is presented to evaluate organizational safety control structure’s competency. In this approach, the modelling process of the System Theoretic Process Analysis (STPA) is used to model hierarchical safety control structure; then, Bayesian Belief Net (BBN) is applied for the competency evaluation of the structure. Clearly, a novel procedure is introduced for converting an STPA-based safety control structure to a BBN for achieving some invaluable safety lead indicators via quantitative analysis.

Suggested Citation

  • Ahmad Dehghan Nejad & Amirhosein Bahramzadeh, 2021. "The competency of organizational safety control structure; a framework for evaluation," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(6), pages 1180-1198, December.
    • Handle: RePEc:spr:ijsaem:v:12:y:2021:i:6:d:10.1007_s13198-021-01373-8
    DOI: 10.1007/s13198-021-01373-8
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    References listed on IDEAS

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    1. Ahmad Dehghan Nejad & Reza Gholamnia & Ahmad Alibabaee, 2017. "A new framework to model and analyze organizational aspect of safety control structure," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(2), pages 1008-1025, November.
    2. Leveson, Nancy, 2015. "A systems approach to risk management through leading safety indicators," Reliability Engineering and System Safety, Elsevier, vol. 136(C), pages 17-34.
    3. Bjerga, Torbjørn & Aven, Terje & Zio, Enrico, 2016. "Uncertainty treatment in risk analysis of complex systems: The cases of STAMP and FRAM," Reliability Engineering and System Safety, Elsevier, vol. 156(C), pages 203-209.
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