Human Error Assessment and Management in Port Operations using Fuzzy AHP

Abstract
Human error makes a significant contribution to marine accidents. There has been a growing commitment to attempt to tackle this problem. In this study, following a brief discussion of Human Reliability Assessment (HRA), a new method of human error assessment and management using fuzzy set theory and analytical hierarchy process is proposed. In assessing the human error risk using the proposed method, the steps in each mission are compared to each other in terms of the likelihood, failure consequence probability, and severity criteria to determine the relative importance and overall risk priority. The method is demonstrated using a test case of an oil cargo handling process in port, and is effective in avoiding the criticism raised when using traditional HRA techniques as well as evaluating the effectiveness of the risk control options (RCOs) identified.