Accident Analysis Techniques in the Industries: A Review | Proceedings of the Pakistan Academy of Sciences: A. Physical and Computational Sciences 2018

Author(s)

Muhammad Ali Bin Manzoor Department of Industrial Engineering, University of Engineering and Technology,Taxila,Pakistan

Salman Hussain Department of Industrial Engineering, University of Engineering and Technology,Taxila,Pakistan

Wasim Ahmad Department of Industrial Engineering, University of Engineering and Technology,Taxila,Pakistan

Mirza Jahanzaib Department of Industrial Engineering, University of Engineering and Technology,Taxila,Pakistan

Abstract

Since the industrial revolutions, accidents have become more common and frequent in all the industries. To find out the causes of these accidents, plenty of techniques have been used until now. A review of the existing techniques of accident causation has been done in this study which highlights the strengths and weaknesses of all these techniques that have been used to find out the contributory factors of these incidents. In addition, the industries where these techniques have been used, have been identified and it is emphasized that these techniques should be applied in the textile industry in Pakistan which is the most accident prone industry in recent times. This study also leads to the realization that there is a need for newer techniques such as structural equation modelling that address the complex nature of accidents and deal with the interactions of contributory factors of accidents in large scale industries. It is also emphasized that the government should take the initiative of making an institution that gathers the accidents data so that the exact causes can be known and dealt with accordingly.

Publication Details

Page(s) 19-29

DOI DOI not available

Published Journal: Proceedings of the Pakistan Academy of Sciences: A. Physical and Computational Sciences, Volume: 55, Issue: 4, Year: 2018

Keywords

Human information models Structural equation modelling Industrial safety Accident causation analyses Systemic analysis Manufacturing industries Sequential analysis

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