What Does
Error Rate Prediction Mean?
Error rate prediction is an evaluation of the probability of an error occurring during the completion of a task. Error rate prediction is used to reduce the likelihood of errors occurring in the future. There are five steps in the error rate prediction process:
- Define the system failure to be examined
- List and analyze the human error that could occur and their related recovery modes
- Calculate the human error probabilities using a probably tree
- Estimate the effect of human failure on the system failure event
- Recommend changes to the system
Safeopedia Explains Error Rate Prediction
Error prediction rate takes the following five types of human error into account:
- Errors of selection – the employee uses wrong controls or issues incorrect commands
- Errors of omission – the employee leaves out a step in the process
- Error of sequence – the employee performs steps in the wrong order
- Error of timing – the employee performs the task before or after the appropriate time
- Error of quantity – the employee uses too little or too much of an ingredient in the process