Integration of fuzzy reasoning approach (FRA) and fuzzy analytic hierarchy process (FAHP) for risk assessment in mining industry
Abstract: Mining industry has
always been known for its unsafe working environment. This industry is one of
the most hazard prone industries. To maintain safety in workplace timely
assessment of risk associated with different operations performed to extract
ore from the ore body has become necessity. To serve the said purpose, present
work demonstrates a robust hybrid risk assessment approach for mining industry.
Design/Methodology: Accident data from 1995 to 2012 is reviewed to
identify hazards contributed to negative outcomes. The FRA approach is
implemented to evaluate the risk levels associated with identified hazard
factors. Thereafter AHP pairwise comparison matrix is developed to obtain
priority weights for the hazard factors. Final priority of hazards based on
severity of level of risk associated with them is obtained considering the
outcome of FRA approach in terms of risk score for the hazards, combined with
the priority weights obtained from AHP technique.
Findings: Defuzzified FAHP weight of hazard factors, this weight gives
priority sequence of hazards to be considered for development of plan of
mitigation.
Originality/Value: Risk assessment is a requirement of the Occupational
Health and Safety Act 2000 (Section 7& 8). The data required to assess the
risk is uncertain, and in such case fuzzy approach is well suited to process
the data and get the crisp output. The output of fuzzy approach is made robust
with its integration to AHP. In this way FAHP can be used as robust technique
for risk assessment in this industry and this technique develops an efficient
safety management system for the achievement of goal to develop the workplace
with zero accident, which many other countries have already achieved.
Author: Shikha Verma, Sharad
Chaudhri
Journal Code: jptindustrigg140042
