Human Reliability (error & incident)
Human Reliability (error & incident)
Here I have listed HF tools related to human error identification and accident (incident) analysis methods.
I like to phrase things positively as "Human Reliability'.
It's a myth that human errors are responsible for 80% accidents. This was just where the investigations traditionally stopped or blame is attributed.
Humans will make errors if systems are poorly designed or difficult to use (adding to the workload).
15 May, 2019, 3:33 PM
Reference: The paper is a good summary of the historical perspective on error and how it applies to a transport sector
Human error and road transport: Phase one – A framework for an error tolerant road transport system
'Reason (1997) cited a wide range of error management-related techniques, including selection, training, licensing and certification, skill checks, human resource management, quality monitoring and auditing, technical safety audits, unsafe act auditing, hazard management systems, procedures, checklists, rules and regulations, administrative controls, total quality management, probabilistic safety assessment, human reliability analysis, human error identification, and crew resource management.
Human error and road transport: Phase one – A framework for an error tolerant road transport system
- Human Error Identification. HEI techniques are used to predict potential human or operator error in complex, dynamic systems. A number of different types of HEI approach were identified, including taxonomy based techniques, error identifier techniques, error quantification techniques, cognitive modeling techniques and cognitive simulation techniques. HEI techniques have previously been employed in a number of different domains, including the Nuclear power and petro-chemical processing industry (Kirwan, 1996), air traffic control (Shorrock & Kirwan, 2002), aviation (Marshall et al, 2003), naval operations, military systems, space operations (Nelson et al, 1998), medicine and public technology (Baber & Stanton, 1996). The utility of HEI techniques lies in their ability to identify potential errors before they occur, allowing pro-active remedial measures to be taken. This also allows them to be applied early in the design process, before an operational system actually exists. It was also concluded, however, that HEI techniques suffer from a number of problems, including issues regarding reliability and validity. For example, different analysts, with different experience, may make different error predictions for the same task (inter-analyst reliability). Similarly, the same analyst may make different judgements on different occasions (intra-analyst reliability).'