Application of Bowtie Analysis in Assessing the Risk of Major Hazards in the Mining Industry

- Organization:
- Canadian Institute of Mining, Metallurgy and Petroleum
- Pages:
- 9
- File Size:
- 357 KB
- Publication Date:
- Aug 1, 2013
Abstract
Bowtie analysis has recently emerged as a technique of choice that can be used when looking specifically at major hazards in the mining industry. A Bowtie diagram is a graphical means of assessment that focuses on identifying all the specific causes and consequences of major events, from which all the ?pre-event? and ?post-event? control measures can be identified. From this critical control measures can be identified and monitoring/assurance systems can be established. It is this assessment of control measures and their effectiveness that replaces the more traditional evaluation of risk (using matrix-based approaches) based on the fact that risk is a function of control ineffectiveness. This is a major difference with traditional risk assessment where all too often control effectiveness is assumed. This paper summarises the Bowtie analysis process and outlines one specific case study where the technique was used on the unwanted event of a collision of a haul truck and light vehicle in an openpit mine. Although more effort is required in undertaking the assessments, control assurance provided this way will go a long way in ensuring that risk assessments and major hazard management become much more effective in practice.
Citation
APA:
(2013) Application of Bowtie Analysis in Assessing the Risk of Major Hazards in the Mining IndustryMLA: Application of Bowtie Analysis in Assessing the Risk of Major Hazards in the Mining Industry. Canadian Institute of Mining, Metallurgy and Petroleum, 2013.