Serious incidents that occur inside or caused by industrial plants represent a very critical issue. In this context, the human reliability analysis (HRA) is an important tool to assess human factors that influence human behaviour in disasters scenario. In fact, the reliability assessment of interaction between human-machine systems is an important factor that affects the overall performance and safety in industrial plants. However, even though HRA techniques have been available for decades, there is not a universal method/procedure to reduce human errors that affect human performance. This study aims to design a novel approach to investigate the relationship between human reliability and operator performance considering the dependence on the available time to make decisions.
|Titolo:||An Experimental Study on Developing a Cognitive Model for Human Reliability Analysis|
|Data di pubblicazione:||2017|
|Appare nelle tipologie:||2.1 Contributo in volume (Capitolo o Saggio)|