Development of Human Error Identification Tool for Processing Industries

Human error analysis method quantitatively is to be investigated by
development of tool for analyzing human error in processing industries and oil and
gas industries. The development of quantitative human error analysis is for the
improvement of human performance focusing critical industrial location such as
plant site and offshore. The development of the tools is based on traditional
analyzing method that has been developed in the past such as Swiss Cheese and
Human Reliability Assessment. This project aims to develop a tool that will assess
and identified human error by quantification method for studies and enhancement of
human performance in processing industries. The development of human error
identification tools is still new in chemical industries and tool that works based on
quantitative methods is still not much due to lack of data. In this project, there are
two case studies used. First is frmn a report on Data Informed Model of Performance
shaping Factors for use in Human Reliability Analysis, which is for calculation of
error probabilities. Second is to calculate risk level which is from case study of
method use for food processing industry in Japan. The result of this project is a
simple, easy and practicable tool for workers in plant to assist them to evaluate
human error probabilities and risk level due to standardized factor of error in plant.