International Journal of Safety

The Korean Society of Safety (한국안전학회)
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Feature Analysis on Industrial Accidents of Manufacturing Businesses Using QUEST Algorithm

  • Leem, Young-Moon (Industrial Systems Engineering, Kangnung National University) ;
  • Rogers, K.J. (Industrial & Manufacturing Systems Engineering, The University of Texas at Arlington) ;
  • Hwang, Young-Seob (Industrial Systems Engineering, Kangnung National University)
  • Published : 2006.06.30
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Abstract

The major objective of the statistical analysis about industrial accidents is to determine the safety factors so that it is possible to prevent or decrease the number of future accidents by educating those who work in a given industrial field in safety management. So far, however, there exists no quantitative method for evaluating danger related to industrial accidents. Therefore, as a method for developing quantitative evaluation technique, this study presents feature analysis of industrial accidents in manufacturing field using QUEST algorithm. In order to analyze features of industrial accidents, a retrospective analysis was performed on 10,536 subjects (10,313 injured people, 223 deaths). The sample for this work was chosen from data related to manufacturing businesses during a three-year period ($2002{\sim}2004$) in Korea. This study used AnswerTree of SPSS and the analysis results enabled us to determine the most important variables that can affect injured people such as the occurrence type, the company size, and the time of occurrence. Also, it was found that the classification system adopted in the present study using QUEST algorithm is quite reliable.

Keywords

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