TY  - CONF
AV  - none
TI  - Human reliability assessment for tank overfilling incident utilizing minimized human performance shaping factors
SP  - 135
ID  - scholars19244
N1  - cited By 0; Conference of International Conference on Sustainable Processes and Clean Energy Transition, ICSuPCET 2022 ; Conference Date: 1 December 2022 Through 2 December 2022; Conference Code:295119
N2  - Human errors are identified as significant contributors to process industry accidents. Human reliability analysis (HRA) has been conducted in previous studies to improve human performance in several industrial operations. However, human error predictions are greatly influenced by various performance-shaping factors (PSFs). Research also demonstrates that PSFs are interdependent, which thereby complicates the modeling and analysis. Therefore, this study performs HRA, for a tank overfilling accident scenario that resulted due to human failure. Fewer independent PSFs through careful classification were used to estimate tank overfilling probability resulting from different human-triggered factors. For HRA, this study uses a combination of the Standardized Plant Analysis Risk Human Reliability Analysis (SPAR-H) and Bayesian Belief Network (BBN). The failure probability distributions of individual interconnecting tasks were calculated using SPAR-H, and the probabilistic interdependence of each task to the final tank overfilling scenario was modeled using a BBN. From the current analysis, divergent stream identification is determined as the key to lead tank overfilling with 40 probability. This study concludes that BBN can be reliably employed in the Quantitative Risk Analysis (QRA) framework to examine human factors in industrial failure probability estimation for various other humanrelated industrial accident scenarios. © 2023, Association of American Publishers. All rights reserved.
Y1  - 2023///
EP  - 144
VL  - 29
A1  - Asher Ahmed, M.
A1  - Risza, R.
A1  - Fatin Afifah, B.M.N.
A1  - Salman, N.
A1  - Rizal Harris, W.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85161686779&doi=10.21741%2f9781644902516-17&partnerID=40&md5=24a962bafa4c8f275104b1be837e10aa
ER  -