Human Error

Cognitive Reliability and Error Analysis Model (CREAM)
CREAM is a second generation HRA designed to enable an analyst to: 1. Identify those parts of the work, as tasks or actions, that require or depend on human cognition, and which therefore may be affec . (Read Complete Description)
Generic Error Modeling System (GEMS)
GEMS is an error classification scheme developed by Reason that focuses on cognitive factors in human error as opposed to environmental or other context-related factors. It is based heavily on Rasmuss . (Read Complete Description)
Human Error Reduction In ATM (HERA)
Based on narrative descriptions of airspace incidents, a HERA analysis examines the human error event in relation to contextual factors (e.g. task, equipment). Context is identified through use of app . (Read Complete Description)
JANUS, named for the Roman two-headed god of gates and doorways, is a sophisticated technique for identifying the root causes of human errors in aviation accidents/incidents and associated contextual . (Read Complete Description)
Maintenance Error Decision Aid (MEDA)
MEDA is a tool for investigating the factors that contribute to aircraft maintenance errors. MEDA provides a comprehensive approach for conducting thorough and consistent investigations, determining t . (Read Complete Description)
Step Ladder Model (SLM)
SLM is an information processing model that assumes a expected sequence of mental operations in the course of decision making. The 8 steps are ‘Activation’, Observe, Identify, Interpret and Evaluate, . (Read Complete Description)
Systematic Human Error Reduction and Prediction Approach (SHERPA)
This human error analysis method consists of a question – answer routine which identifies likely errors for each step in the task analysis. The error models identified are based on the "skill rule and . (Read Complete Description)