Prediction and analysis of human errors on the Boiler operator using PHEA method: A case study in dairy industry

AUTHORS

Gholam Abbas Shirali 1 , Zeinab Nezamodini 2 , Mahboubeh Movafagpour 3 , *

1 Assistant professor, Depatment of Occupational Health, School of Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran

2 Lecturer, Depatment of Occupational Health, School of Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran

3 MSc Student of Occupational Health, Depatment of Occupational Health, School of Health, Student Research Committee, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran

How to Cite: Shirali G A, Nezamodini Z, Movafagpour M. Prediction and analysis of human errors on the Boiler operator using PHEA method: A case study in dairy industry, Jentashapir J Cell Mol Biol. 2013 ; 4(5):e94116.

ARTICLE INFORMATION

Jentashapir Journal of Health Research: 4 (5); e94116
Published Online: October 30, 2013
Article Type: Research Article
Received: May 20, 2019
Accepted: December 12, 2012

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Abstract

Background: Although advances in technology and increased use of production machinery have decreased manpower role, many industrial sites have exposed human resources to various dangers and a small mistake can often cause irreversible injuries. The purpose of this study was to analyze certain jobs and to detect the possible human errors in the steam boiler room of dairy industry using the PHEA method.

Materials and Methods: In this study data were collected through two steps: In the first step, using observation, investigation, and documentation techniques, all tasks of involved employees in process were identified. Then, with respect to the obtained results, critical tasks were selected to analyze the human errors. In the second step, the error description (and consequences resulted from it) were determined. Several action plans for mitigation and elimination of human errors are also recommended.

Results: The results have shown that most errors were characterized as "control is not true," with 110 repetitions, and the second type of errors "does not do the control" were obtained with 108 repetitions. For identified errors, 11 cases with 453 frequencies were identified. Most human-error causes were found as the forgotten, negligence and busy factors with the frequencies of 117,111, 111, respectively.

Conclusion: The results showed that PHEA technique can be used as an effective method to detect human errors and assess the consequences of the hazards resulted from the errors in the complex tasks.

Keywords

Task Analysis Human Errors Steam Boilers Milk Co PHEA

© 2013, School of Medicine, Ahvaz Jundishapur University of Medical Sciences. This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/) which permits copy and redistribute the material just in noncommercial usages, provided the original work is properly cited.

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