SAFETY PERFORMANCE EVALUATION USING PROACTIVE INDICATORS IN A SELECTED INDUSTRY

Background & Objectives: Quality and effectiveness of safety systems are critical factors in achieving their goals. This study was aimed to represent a method for performance evaluation of safety systems by proactive indicators using different updated models in the field of safety which will be tested in a selected industry. Methods: This study is a cross-sectional study. Proactive indicators used in this study were: Unsafe acts rate, Safety Climate, Accident Proneness, and Near-miss incident rate. The number of in 1473 safety climate questionnaires and 543 Accident Proneness questionnaires was completed. Results: The minimum and maximum safety climate score were 56.88 and 58.2, respectively, and the minimum and maximum scores of Accident Proneness were 98.2 and 140.7, respectively. The maximum number of Nearmiss incident rate were 408 and the minimum of that was 196. The maximum number of unsafe acts rate was 43.8 percent and the minimum of that was 27.2 percent. In nine dimensions of Safety climate the eighth dimension (personal perception of risk) with the score of 4.07 has the lowest score and the fourth (laws and safety regulations) dimension with 8.05 has the highest score. According to expert opinions, the most important indicator in the assessment of safety performance was unsafe acts rate, while near-miss incident rate was the least important one. Conclusion: The results of this survey reveal that using proactive (Prospective) indicators could be an appropriate method in organizations safety performance evaluation.

[1]  K. J. Seymour,et al.  Long-term evaluation of a behavior-based method for improving safety performance : a meta-analysis of 73 interrupted time-series replications , 1999 .

[2]  Chung-Hsing Yeh,et al.  A new airline safety index , 2004 .

[3]  M. Bohanec,et al.  The Analytic Hierarchy Process , 2004 .

[4]  M Patterson,et al.  Use of a safety climate questionnaire in UK health care: factor structure, reliability and usability , 2006, Quality and Safety in Health Care.

[5]  Qiong Bao,et al.  Multi-criteria decision making techniques for combining different sets of road safety performance indicators into an overall index , 2010 .

[6]  Ahmet Selim Alpmen.  Development And Implementation Of A Proactive Safety Performance Evaluation System For General Contractors , 2013 .

[7]  Emmanuel Manatakis,et al.  Assessment of selected safety performance evaluation methods in regards to their conceptual, methodological and practical characteristics , 2010 .

[8]  Michael Behm,et al.  Linking construction fatalities to the design for construction safety concept , 2005 .

[9]  Iraj Mohammadfam,et al.  Developing the health, safety and environment excellence instrument , 2013, Iranian Journal of Environmental Health Science & Engineering.

[10]  Lise Desmarais,et al.  A preliminary validation of a new measure of occupational health and safety. , 2006, Journal of safety research.

[11]  M. Ali Azadeh,et al.  CREATING HIGHLY RELIABLE MANUFACTURING SYSTEMS: AN INTEGRATED APPROACH , 2000 .

[12]  Ying-Chyi Chou,et al.  Evaluating the criteria for human resource for science and technology (HRST) based on an integrated fuzzy AHP and fuzzy DEMATEL approach , 2012, Appl. Soft Comput..

[13]  Kathryn Mearns,et al.  Safety climate, safety management practice and safety performance in offshore environments , 2003 .

[14]  Chitram Lutchman,et al.  Safety Management: A Comprehensive Approach to Developing a Sustainable System , 2012 .

[15]  H Nikoomaram,et al.  Development of a model to assess environmental performance, concerning HSE-MS principles , 2010, Environmental monitoring and assessment.

[16]  R L Brown,et al.  The use of a factor-analytic procedure for assessing the validity of an employee safety climate model. , 1986, Accident; analysis and prevention.

[17]  O. Dahlbäck,et al.  Accident-proneness and risk-taking☆ , 1991 .

[18]  Dongping Fang,et al.  Factor analysis-based studies on construction workplace safety management in China , 2004 .

[19]  Ann Williamson,et al.  The development of a measure of safety climate: The role of safety perceptions and attitudes , 1997 .

[20]  M. Sambasivan,et al.  Evaluation of critical success factors of implementation of ISO 14001 using analytic hierarchy process (AHP): a case study from Malaysia , 2008 .

[21]  Nancy G. Leveson,et al.  A systems approach to risk management through leading safety indicators , 2015, Reliab. Eng. Syst. Saf..