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Feature Analysis of Industrial Accidents in Manufacturing Business Using QUEST Algorithm  

Leem Young-Moon (강릉대학교 산업공학과)
Hwang Young-Seob (강릉대학교 산업공학과)
Publication Information
Journal of the Korea Safety Management & Science / v.8, no.2, 2006 , pp. 51-59 More about this Journal
Abstract
So far, there is no technique of quantitative evaluation on danger related to industrial accidents. Therefore, as an endeavor for obtaining technique of quantitative evaluation, this study presents feature analysis of industrial accidents in manufacturing field using QUEST algorithm. In order to analyze feature of industrial accidents, a retrospective analysis was performed in 10,536 subjects (10,313 injured people, 223 deaths). The sample for this work chosen from data related to manufacturing businesses during three years $(2002\sim2004)$ in Korea. The analysis results were very informative since those enable us to know the most important variables such as occurrence type, company size, and occurrence time which can affect injured people. Also, it is found that classification using QUEST algorithm which was performed in this study is very reliable.
Keywords
Gains Chart; QUEST; Cross-Validation; Training Data; Testing Data;
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