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The management of mechanical integrity inspections at small-sized “Seveso†facilities

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  • Bragatto, Paolo A.
  • Pittiglio, Paolo
  • Ansaldi, Silvia

Abstract

The mechanical integrity (MI) of equipment has been controlled at all industrial facilities for many decades. Control methods and intervals are regulated by laws or codes and best practices. In European countries, the legislations implementing the Seveso Directives on the control of major accident hazards require the owner of establishments where hazardous chemicals are handled, to implement a safety management system (SMS). MI controls should be an integral part of the SMS. At large establishments this goal is achieved by adopting the RBI method, but in small-sized establishments with a limited budget and scanty personnel, a heuristic approach is more suitable. This paper demonstrates the feasibility and advantages of integrating SMS and MI by means of a simple method that includes a few basic concepts of RBI without additional costs for operator. This method, supported by a software tool, is resilient as it functions effectively in spite of eventual budget reductions and personnel turnover. The results of MI controls can also be exploited to monitor equipment condition and demonstrate the adequacy of technical systems to the Competent Authorities (CA). Furthermore, the SMS can “capture†knowledge resulting from MI experience and exploit it for a better understanding of risk.

Suggested Citation

  • Bragatto, Paolo A. & Pittiglio, Paolo & Ansaldi, Silvia, 2009. "The management of mechanical integrity inspections at small-sized “Seveso†facilities," Reliability Engineering and System Safety, Elsevier, vol. 94(2), pages 412-417.
    • Handle: RePEc:eee:reensy:v:94:y:2009:i:2:p:412-417
    DOI: 10.1016/j.ress.2008.04.005
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    References listed on IDEAS

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    1. Kallen, M.J. & van Noortwijk, J.M., 2005. "Optimal maintenance decisions under imperfect inspection," Reliability Engineering and System Safety, Elsevier, vol. 90(2), pages 177-185.
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    Cited by:

    1. F De Carlo & O Borgia & M Tucci, 2011. "Risk-based inspections enhanced with Bayesian networks," Journal of Risk and Reliability, , vol. 225(3), pages 375-386, September.
    2. Mocellin, Paolo & Pilenghi, Lisa, 2023. "Semi-quantitative approach to prioritize risk in industrial chemical plants aggregating safety, economics and ageing: A case study," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    3. Moura, Márcio das Chagas & Lins, Isis Didier & Droguett, Enrique López & Soares, Rodrigo Ferreira & Pascual, Rodrigo, 2015. "A Multi-Objective Genetic Algorithm for determining efficient Risk-Based Inspection programs," Reliability Engineering and System Safety, Elsevier, vol. 133(C), pages 253-265.

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