Auto-CREAM: Software application for evaluation of HEP with basic and extended CREAM for PSA studies

Vipul Garg, Gopika Vinod and Vivek Kant

Reliability Engineering and System Safety, 2023, vol. 236, issue C

Abstract: Human Reliability Analysis (HRA) enables the estimation of the contribution of erroneous actions from the control room and field operators towards the overall risk, as Human Error Probability (HEP). A challenge usually encountered in HRA is inaccuracy in manual calculation of HEP and variance in the evaluated HEP results for the same case study by different HRA practitioners; owing to unavailability of professional software tools for HRA, unlike plenty of such tools available for Probabilistic Safety Assessment (PSA). CREAM, a widely used second generation HRA method quantifies the conditional failure probability of operator's cognition with respect to the context. Since it is a detailed method based on the concepts of cognition, manual evaluation of HEP with CREAM still remains a cumbersome and error prone process. The objective of this article is to address these challenges by automating and validating the CREAM predictive analysis as a software application. In developing the application, the research contribution of this paper is implementation of uncertainty and sensitivity analysis of the probability of Human Failure Event (HFE) i.e. P(HFE/Context). Uncertainty analysis in Auto-CREAM is performed using a numerical technique, unlike the expert elicitation or empirical approaches adopted by HRA methods.

Keywords: CREAM; HRA; Second generation HRA; HEP; PSA (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0951832023002326
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:236:y:2023:i:c:s0951832023002326

DOI: 10.1016/j.ress.2023.109318

Access Statistics for this article

Reliability Engineering and System Safety is currently edited by Carlos Guedes Soares

More articles in Reliability Engineering and System Safety from Elsevier
Bibliographic data for series maintained by Catherine Liu ().