Determination of human error probabilities in maintenance procedures of a pump
Noroozi, A and Khan, FI and Mackinnon, S and Amyotte, P and Deacon, T, Determination of human error probabilities in maintenance procedures of a pump, Process Safety and Environmental Protection, 92, (2) pp. 131-141. ISSN 0957-5820 (2014) [Refereed Article]
Copyright 2012 The Institution of Chemical Engineers
The "human factor" constitutes an important role in the prediction of safe operation of a facility. Hence, information about human capacities and behaviours should be applied methodically to increase the safety of a systematic process. This paper provides an analysis of human factors in pre- and post-maintenance operations. For possible failure scenarios, this paper considers the procedures for removing process equipment from service (pre-maintenance) and returning the component to service (post-maintenance). In this study, a pump is used as the test example. For each scenario, the human error probability (HEP) is calculated for each activity, using the Human Error Assessment and Reduction Technique (HEART) which is commonly implemented technique in industry, can also be applied in the analyses of safety cases. HEART is a reliable technique for comparing HEP and its approach is based on the degree of error recovery. Consequences are also assessed for each activity in this methodology. The final value of risk for each activity is assigned by combining error likelihood and related consequences. When the calculated risk is beyond acceptable levels, risk management strategies are provided to increase the safety of the maintenance procedures. The most probable human errors for a considered case study are related to the activities of "draining lines" and "open valves". These two activities have high HEPs, which are 9.57E-01 and 9.62E-01, respectively.
human error, human factors, maintenance procedures, risk assessment, human error assessment, human error probability, human errors, maintenance procedures, process equipments, reduction techniques, risk management strategies, systematic process