Published Paper Details:

Background: The study was conducted in an automotive spare part manufacturing industry located in South India. The various machinery safety factors were identified and studied in selected work stations. Aim: This study was initiated to identify the critical factors and to design a Structural Equation Model to find the resultant effects and the degree of relationship among the predominant machine safety factors. Materials and Methods: Systematic random sampling method was adopted to collect 142 samples. Twenty Five variables influencing Safety Factors were identified in the questionnaire, validated and responded in Likert type five-point scale. Statistical Analysis: Factor analysis was done to extract the predominant factors and seven iterations were extracted. Structural Equation Model (AMOS 20) was used for the analysis to find the resultant effects and the degree of relationship among the seven factors. The data was analyzed by the IBM-SPSS version-20. Demographic study, Descriptive Statistics, fitting the models using AMOS Graphic was performed. Results: The factor analysis revealed that seven predominant factors. SEM model analysis is done based on model fitness indices (goodness of fit). Conclusions and Implications: The result of the Fit statistics of the structural model confirms the Model is fully supported and found FIT. Construct validity has been achieved during GFI, NFI and CFI being nearest to 0.90 and the RMSEA is 0.000. Internal reliability has been achieved with the Cronbach�s Alpha value of 0.752. It is concluded that there is a significant level of association among the machinery safety factors.