Development of Human Error Identification Tool for Processing Industries

• Main Author: Hassan, Abdul Shafiq
• Format: Final Year Project
• Language: English
• Published: Universiti Teknologi PETRONAS 2012
• Subjects: TP Chemical technology
• Online Access: http://utpedia.utp.edu.my/9678/1/2012%20-%20Development%20of%20Human%20Error%20Indentification%20Tools%20for%20Processing%20Industries.pdf; http://utpedia.utp.edu.my/9678/

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.