Evaluating Human Error Probability by using Cognitive Reliability Analysis Method (CREAM)
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Abstract
Human error while working can occur with every operator. Understanding the mechanism and conditions that can lead to human error is important to find potential solutions to prevent them. The objective of this article was to describe how to perform CREAM technique for predicting human error.
The CREAM technique was originally developed for evaluating human error in the nuclear industry. Nowadays, this technique has been accepted and used widely in general industries. The main benefits of the CREAM technique are both identify types of human error based on cognitive failure and quantifies the probability number of human error. In addition, it can also describe the Common Performance Conditions (CPCs) that can lead to human error. However, some limitations are that it might spend a long time, especially in large and complex industries. Moreover, the method is quite complicated and need training time. To easier to understand, we summarized the CREAM technique into four main steps. The results can explain the number of human error probability and also describe the conditions that can affect human error. As a result, findings from the technique can be used to prevent human error at work.
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References
Akyuz, E., & Celik, M. (2015). Application of CREAM human reliability model to cargo loading process of LPG tankers. Journal of Loss Prevention in the Process Industries, 34(39), 48.
Annett, J. (2004). Hierarchical task analysis (HTA): In Handbook of human factors and ergonomics methods. CRC.
Butmee, T., & Jitjamnong, T. (2022). Human Error Identification by using SHERPA: Systematic Human Error Reduction and Prediction Approach Technique. Journal of Safety and Health, 15(2), 9-22.
Embrey, D. E. (1986). SHERPA: A systematic human error reduction and prediction approach. In Proceedings of the international topical meeting on advances in human factors in nuclear power systems. Noxville, TN (USA). American Nuclear Society (pp. 184-193).
Ghasemi, F., Ghasemi, A., & Kalatpour, O. (2022). Prediction of human error probability during the hydrocarbon road tanker loading operation using a hybrid technique of fuzzy sets, Bayesian network and CREAM. International Journal of Occupational Safety and Ergonomics, 28(3). 1342-1352.
Hollnagel, E. (1998, January 23). Cognitive reliability and error analysis method (CREAM). ELSEVIER, https://www.elsevier.com/books/cognitive-reliability-and-error-analysis-method-cream/hollnagel/978-0-08-042848-2.
Isaac, A., & Shorrock, S. T. (2002). Human error in European air traffic management: the HERA project. Reliability Engineering & System Safety, 75(2). 257-272.
Islam, R., Khan, F., Abbassi, R., & Garaniya, V. (2018). Human error probability assessment during maintenance activities of marine systems. Safety and health at work, 9(1). 42-52.
Marshall, A., Stanton, N., Young, M., Salmon, P., Harris, D., & Demagalski, J. (2003). Development of the human error template - A new methodology for assessing design induced errors on aircraft flight decks (Final Report of the ERRORPRED Project E! 1970). Department of Trade and Industry.
Moura, R., Beer, M., Patelli, E., Lewis, J., & Knoll, F. (2016). Learning from major accidents to improve system design. Safety science, 84, 37-45.
Petrillo, A., Falcone, D., De Felice, F., & Zomparelli, F. (2017). Development of a risk analysis model to evaluate human error in industrial plants and in critical Infrastructures. International journal of disaster risk reduction, 23, 15-24.
Pocock, S., Wright, P., & Harrison, M. (2001). THEA-a technique for human error assessment early in design. DEPT OF COMPUTER SCIENCE.
Read, G. J., Shorrock, S., Walker, G. H., & Salmon, P. M. (2021). State of science: Evolving perspectives on "human error". Ergonomics, 64(9), 1091-1114.
Shokria, S. (2017). A Cognitive Human Error Analysis with CREAM in Control Room of Petrochemical Industry. Biotechnology and Health Sciences, 1, 13-21.
Williams, J. C. (1986). HEART – a proposed method for assessing and reducing human error (9th ed.). Advances in Reliability Technology Symposium.
