TY - JOUR
T1 - Applying data mining techniques to analyze the causes of major occupational accidents in the petrochemical industry
AU - Cheng, Ching Wu
AU - Yao, Hong Qing
AU - Wu, Tsung Chih
N1 - Funding Information:
This study is supported by the Institute of Occupational Safety and Health (IOSH) under research grant IOSH99-3054 . The data used in this study is provided by the Inspection Office, Council of Labor Affairs, Executive Yuan.
PY - 2013
Y1 - 2013
N2 - Accidents that occur in the petrochemical industry frequently result in serious social issues. Behind every occupational accident, there are safety management problems requiring investigation. This study collected 349 cases of major occupational accidents in the petrochemical industry between 2000 and 2010 in Taiwan for analysis. Using descriptive statistics, we elucidated the factor distribution of these major occupational accidents. The data mining classification and regression tree (CART) was used to examine the distribution and rules governing the factors of the disasters. This study found that for equipment such as pipelines and control valves, devising high-quality safety and protective devices/ maintenance/renewal plans and pipeline setups/design plans can effectively prevent accidents such as fires, explosions, and poisoning caused by material leakage, as well as employees being caught in/rolled up in machinery. Furthermore, implementing safety management measures, such as worker safety educational training, and enforcing standards for inspections, operations, and risk assessments personnel, has become an important factor in accident prevention. This study suggests the use of the following measures: for abnormal conditions such as pipeline cracking/damage or rusting, hightemperatures caused by material leakage into the inner protective layer of pipelines should be prevented. Considering overlapping pipelines, rusting issues caused by pipelines touching each other should be avoided, and maintenance and repair should be performed to ensure the safety of work environments. These measures can eliminate the risk of work injuries and resulting social issues.
AB - Accidents that occur in the petrochemical industry frequently result in serious social issues. Behind every occupational accident, there are safety management problems requiring investigation. This study collected 349 cases of major occupational accidents in the petrochemical industry between 2000 and 2010 in Taiwan for analysis. Using descriptive statistics, we elucidated the factor distribution of these major occupational accidents. The data mining classification and regression tree (CART) was used to examine the distribution and rules governing the factors of the disasters. This study found that for equipment such as pipelines and control valves, devising high-quality safety and protective devices/ maintenance/renewal plans and pipeline setups/design plans can effectively prevent accidents such as fires, explosions, and poisoning caused by material leakage, as well as employees being caught in/rolled up in machinery. Furthermore, implementing safety management measures, such as worker safety educational training, and enforcing standards for inspections, operations, and risk assessments personnel, has become an important factor in accident prevention. This study suggests the use of the following measures: for abnormal conditions such as pipeline cracking/damage or rusting, hightemperatures caused by material leakage into the inner protective layer of pipelines should be prevented. Considering overlapping pipelines, rusting issues caused by pipelines touching each other should be avoided, and maintenance and repair should be performed to ensure the safety of work environments. These measures can eliminate the risk of work injuries and resulting social issues.
UR - http://www.scopus.com/inward/record.url?scp=84891658224&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84891658224&partnerID=8YFLogxK
U2 - 10.1016/j.jlp.2013.07.002
DO - 10.1016/j.jlp.2013.07.002
M3 - Article
AN - SCOPUS:84891658224
VL - 26
SP - 1269
EP - 1278
JO - Journal of Loss Prevention in the Process Industries
JF - Journal of Loss Prevention in the Process Industries
SN - 0950-4230
IS - 6
ER -