Application of Fuzzy HEART and expert elicitation for quantifying human error probabilities in LPG refuelling station

Human error is an important consideration in process industries. In this study a framework is developed based on the application of Fuzzy HEART and Expert elicitation for performing quantification of human error probability with an application to refuelling operation in an LPG refueling station. HEART technique analyses the tasks and quantifies likelihood of unreliability of activities which disturb successful completion of the process. Implication of fuzzy pursues uncertainties by defining linguistic variables for an expert's opinion. An expert weighing approach along with a structured expert-elicitation approach is employed to increase the fidelity of the technique. The results obtained are properly compared with the results generated through CREAM, a second generation technique. Results have helped to identify curative measures which are both cost effective and easy to implement with respect to human activities to improve safety at LPG dispensing station. This approach enables HEART technique to accommodate opinions of expert with ambiguity and uncertainty and to yield appreciable results like a second generation technique. Application of this technique can be expanded to process industries and establishments where operator actions take place.