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Accident Prevention Model Using Signal Detection Theory: Case of Shipbuilding Industry

  • Pyo, Yeon (SHE, Hyundai Samho Heavy Industries CO) ;
  • Park, Myoung Hwan (Department of Industrial and Management Engineering, Hansung University) ;
  • Jeong, Byung Yong (Department of Industrial and Management Engineering, Hansung University)
  • Received : 2017.04.06
  • Accepted : 2017.04.24
  • Published : 2017.06.30

Abstract

Objective: The purpose of this study is to draw the accident prevention model using the signal detection theory, and to implement accident prevention program, based on a health promotion and support activities in a shipbuilding company. Background: Workers' health management is perceived important from the human resource management perspective, as well as from the personal perspective. Method: This study developed an accident prevention model by analyzing the correlation between 704 workers' health examination variables, and reviewed the verification of the model through a follow-up survey on the control variables and status of hazards targeting 650 workers for four years from 2007 to 2010. Also, a health promotion program was implemented targeting a production division to improve alcohol habits, smoking, musculoskeletal pain complaints and hearing control indices, which are the control variables of the model. Results: As a result of four years' implementation, the following effects were obtained: the days away from work fell 87.5%, and accident rate dropped 71.5% in 2010, respectively, compared to 2006, before the activity was implemented. Conclusion: This study shows that the accident prevention activities based on workers' health promotion activities are effective to prevent industrial accidents and injuries. Application: The research findings will serve as a practical guideline for establishing preventive measures in the shipbuilding company.

Keywords

References

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