Assessment of human factor performance using Bayesian inference and inherent safety

Wahab, N.D.A. and Rusli, R. and Mohd Shariff, A. and Buang, A. (2014) Assessment of human factor performance using Bayesian inference and inherent safety. Advanced Materials Research, 845. pp. 658-662. ISSN 10226680

Full text not available from this repository.
Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

Abstract

Simply attributing incidents to human error is not adequate; human factors aspects should be investigated such that lessons are learnt and the true root causes are established in order to prevent recurrence. Whilst many petroleum and allied industry businesses have investigated and analyzed incidents - whether with major hazards or occupational injuries potential - human factors aspects are rarely addressed sufficiently. Therefore, this paper presents a hybrid methodology that combines a conventional Swiss Cheese model with Bayesian inference to predict the failure probability of human factors. An inherent safety concept associated with human factor is proposed and utilized as preventive measures to overcome the identified root causes. This approach is then applied to offshore safety assessment study. As a result, the failure probability of human factor can be monitored with time and the best preventive measure can be prioritized once human performance is degraded. It is proven that the approach has the ability to act as predictive tool that provides early warnings toward human deficiency. A preventive measure can then be taken to enhance the overall human performance and ultimately to reduce the likelihood of major incidents. © (2014) Trans Tech Publications, Switzerland.

Item Type: Article
Additional Information: cited By 2; Conference of 1st International Materials, Industrial, and Manufacturing Engineering Conference, MIMEC 2013 ; Conference Date: 4 December 2013 Through 6 December 2013; Conference Code:101778
Uncontrolled Keywords: Bayesian inference; Failure Probability; Human performance; Hybrid methodologies; Inherent safety; Occupational injury; Preventive measures; Safety assessments, Bayesian networks; Industrial engineering; Industrial research; Industry; Inference engines; Petroleum industry, Human engineering
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 09 Nov 2023 16:16
Last Modified: 09 Nov 2023 16:16
URI: https://khub.utp.edu.my/scholars/id/eprint/4452

Actions (login required)

View Item
View Item