Annals of Occupational and Environmental Medicine

Kwan Hyung Yi

2 Articles

Relationship between Injury Occurrence and Workplace Organization in Small-sized Manufacturing Factories: Kun Sei Lee, Hyeongsu Kim, Soung Hoon Chang, Kyung Hee Jung-Choi, Won Ki Oh, Jae Wook Choi, Kwan Hyung Yi, Ji Young Oh; Korean Journal of Occupational and Environmental Medicine 2006;18(2):73-86. Published online June 30, 2006; DOI: https://doi.org/10.35371/kjoem.2006.18.2.73

OBJECTIVE: This study evaluated the relationship between injury occurrence and workplace organization in small-sized, manufacturing factories in Korea.
METHODS
Using data from the 2004 Occupational Safety and Health Survey in Korea, this study compared workplace organizational factors (general characteristics, employee characteristics and health and safety characteristics) with injury occurrence of 1,866 small-sized, manufacturing factories (65,921 population factories after weighting). General characteristics of factories comprised location, type and classification of industry. Employee characteristics comprised proportion of manual workers and female workers, average working hours per week and shiftwork. Health and safety characteristics comprised type of safety and health manager, committee for occupational safety and health, labor union, health and safety regulation, monthly health and safety training time, score of health and safety activity and score of safety culture.
RESULTS
The following characteristics of injury-occurrence in small-sized, manufacturing factories were determined by multivariate analysis. In terms of general characteristics, the risk of injury-occurrence was higher in Jeolla area than Gyeongin area in outside associate than other enterprises and in coke, refined petroleum products and nuclear fuel, wood and products of wood, food products and beverages and fabricated metal products, except machinery and furniture industries than television and communication equipment and apparatus industries. In terms of employee characteristics, injury-occurrence significantly increased in factories with greater proportion of manual worker and with a higher rate of working hours per week. But significantly decreased in factories with a higher proportion of female workers. In terms of health and safety characteristics, injury-occurrence significantly increased in factories with a self-appointed safety manager, with unorganized union, with a more active committee for occupational safety and health, with unimplemented health and safety regulations, with longer monthly safety and health training time, and with a lower score of safety culture.
CONCLUSIONS
This study demonstrated that several factors of workplace organization were significantly related with injury-occurrence in factories. These findings are supposed to raise the need for making efforts in workplace organization to improve injury prevention.

Citations

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A Policy Intervention Study to Identify High-Risk Groups to Prevent Industrial Accidents in Republic of Korea
Kwan Hyung Yi, Seung Soo Lee
Safety and Health at Work.2016; 7(3): 213. CrossRef
Validation of Performance Indicators for Evaluation of Workplace Health Promotion
Seung Hee Ho, Young Moon Chae
American Journal of Health Promotion.2015; 29(6): 402. CrossRef
A basic research on risk control measure for reducing the fishermen's occupational accident in offshore and coastal fishing vessel
Wook-Sung Kim, Young-Bok Cho, Seok-Jae Kim, Kyong-Jin Ryu, Yoo-Won Lee
Journal of the Korean society of Fisheries Technology.2014; 50(4): 614. CrossRef
Research on the Characteristics of Working Conditions and Occupational Safety and Health in the Special form Workers
Kwan Hyung Yi
Journal of the Korean Society of Safety.2014; 29(4): 147. CrossRef
Effects of health and safety problem recognition on small business facility investment
Jisu Park, Harin Jeong, Sujin Hong, Jong-Tae Park, Dae-Sung Kim, Jongseo Kim, Hae-Joon Kim
Annals of Occupational and Environmental Medicine.2013;[Epub] CrossRef

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The Prediction Model of the Number of Industrial Injured Persons Using Data Mining: Kwan Hyung Yi, Ho Keun Chung, Jung Sun Park; Korean Journal of Occupational and Environmental Medicine 2000;12(4):515-523. Published online December 31, 2000; DOI: https://doi.org/10.35371/kjoem.2000.12.4.515

Abstract PDF

OBJECTIVES
This study is to see the transition and pattern of the industrial iureal worker, and to develop the prediction model.
METHODS
The data of the study are based on the samples from data-warehouse of Occupational Safety & Health Research Institute and are summed monthly from Jan 1986 to Dec 1999. This study data used data mart and Meta data from DW in KOSHA. The prediction model of the injured worker in Industry is designed by using a winters time series method after data preparing (i. e. sample, explore, modify) from DW.
RESULTS
Thls predicted model obtained Winters-method multiplicative in exponential smoothing among applied all models, after the tlme series (total 163 months). It showed that the prediction power was 95.5 %.
CONCLUSIONS
In the process of exploring the data, totally the rate of industrial injureal workers reduced, and in the yearly circulation, in February and September the number is the lowest but in June, July, October and November the higher. The number of monthly average injureal workers is 8709 (95 % confidence interval 8277, 9140). From the developed prediction model, since Aug 1999 the industrial injureal worker reduced rapidly in Dec 1999 and first period of 2000. But In second period of 2000 the number of the injured workers is increasing. To conclude, as the total economic situation is becoming better in 2000 than In 1999, its is supposed that the injured workers will increase more than the predictive injured workers because of the increase of production rate and labor force.

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Occupational accident prediction modeling and analysis using SHAP
Hyung-Rok Oh, Ae-Lin Son, ZoonKy Lee
Journal of Digital Contents Society.2021; 22(7): 1115. CrossRef
Prediction of Daily Patient Numbers for a Regional Emergency Medical Center using Time Series Analysis
Hye Jin Kam, Jin Ok Sung, Rae Woong Park
Healthcare Informatics Research.2010; 16(3): 158. CrossRef

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