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Inclusion of human errors assessment in failure frequency analysis—A case study for the transportation of ammonia by rail in Malaysia
Author(s) -
Hassan Che Rosmani Che,
Balasubramaniam Puvaneswaran AL,
Raman Abdul Aziz Abdul,
Mahmood Noor Zalina,
Hung Foo Chee,
Sulaiman Nik Meriam Nik
Publication year - 2009
Publication title -
process safety progress
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.378
H-Index - 40
eISSN - 1547-5913
pISSN - 1066-8527
DOI - 10.1002/prs.10268
Subject(s) - human error , human reliability , risk assessment , risk analysis (engineering) , reliability (semiconductor) , reliability engineering , hazardous waste , failure mode and effects analysis , risk management , estimation , engineering , fuzzy logic , port (circuit theory) , environmental science , computer science , waste management , business , power (physics) , physics , computer security , electrical engineering , systems engineering , finance , quantum mechanics , artificial intelligence
Risk is defined as the probability of a specific adverse event occurring within a specific period, while Quantitative risk assessment (QRA) is the development of a quantitative estimate of risk based on engineering evaluation and mathematical techniques by combining estimate of incident consequences and frequencies. In view of the increase in the use of railways as the mode of transportation for hazardous materials throughout the world, the associated risk analysis should be taken into concern. In this study, the failure frequency of the transportation of ammonia from the Petronas fertilizers Kedah (PFK) plant in Gurun (Northern part of Peninsular Malaysia), to the Chemical Company Malaysia (CCM) fertilizer's facilities in Port Klang (South‐western part of Peninsular Malaysia) was evaluated by incorporating the human error assessment. The study highlighted the importance of human error contributions in the failure frequency analysis and its impact on the selected failure scenarios. Besides, it also shows that the application of the human error assessment and reduction technique (HEART), which is a useful human reliability analysis tool, should be used in parallel with the fuzzy arithmetic approach to reduce the uncertainties involved in the estimation of human error probabilities, and hence, to reduce the likelihood of incorrect risks estimates being assessed. The results suggested that the commonly applied approach in quantitative risk assessments, which only consider equipment failures in the failure frequency estimations, are clearly an underestimate of the potential causes of failures leading to hazardous material releases, and hence, the calculated risks based do not reflect the actual risks. © 2008 American Institute of Chemical Engineers Process Saf Prog, 2009