TY - GEN
T1 - INVESTIGATION OF FATAL ACCIDENT CAUSES IN THE OIL AND GAS INDUSTRY
T2 - 30th International Conference of the International Association for Management of Technology: MOT for the World of the Future, IAMOT 2021
AU - Wicaksono, Fermi Dwi
AU - Ciptomulyono, Udisubakti
AU - Artana, Ketut Buda
AU - Irawan, Mohammad Isa
N1 - Publisher Copyright:
Copyright © 2021 by Naudé Scribante. Permission granted to IAMOT to publish and use.
PY - 2021
Y1 - 2021
N2 - Fatal accident is the most avoidable event in the high-hazard industries. As one of the most critical sectors in the industries, oil and gas possess an enormous risk associated with intrinsic hazards, potentially leading to a fatal accident. This accident can be reduced by understanding the underlying causes and the relationship among its causal factors. Current research investigates the interdependence relation of the fatal accident causal factors in the oil and gas industry from 2010 until 2018. The structural equation modeling approach is applied for determining the covariance and regression coefficient of latent causes variables contributing to the fatal accidents. It is critical to understand the quantified inter-dependence values and the degree of importance of the causal factors so that specific prevention measures can be implemented efficiently and the accident is reduced effectively. This effort will enable significant measures to prevent fatal accidents from recurring.
AB - Fatal accident is the most avoidable event in the high-hazard industries. As one of the most critical sectors in the industries, oil and gas possess an enormous risk associated with intrinsic hazards, potentially leading to a fatal accident. This accident can be reduced by understanding the underlying causes and the relationship among its causal factors. Current research investigates the interdependence relation of the fatal accident causal factors in the oil and gas industry from 2010 until 2018. The structural equation modeling approach is applied for determining the covariance and regression coefficient of latent causes variables contributing to the fatal accidents. It is critical to understand the quantified inter-dependence values and the degree of importance of the causal factors so that specific prevention measures can be implemented efficiently and the accident is reduced effectively. This effort will enable significant measures to prevent fatal accidents from recurring.
KW - Causal factors
KW - Fatal accident
KW - Oil and gas industry
KW - Structural equation modeling
UR - http://www.scopus.com/inward/record.url?scp=85123994758&partnerID=8YFLogxK
U2 - 10.52202/060557-0101
DO - 10.52202/060557-0101
M3 - Conference contribution
AN - SCOPUS:85123994758
T3 - Proceedings of the 30th International Conference of the International Association for Management of Technology, IAMOT 2021 - MOT for the World of the Future
SP - 1302
EP - 1315
BT - Proceedings of the 30th International Conference of the International Association for Management of Technology, IAMOT 2021 - MOT for the World of the Future
PB - University of Pretoria
Y2 - 19 September 2021 through 23 September 2021
ER -