Evaluation of safety performance in a food industry based on fuzzy logic

Evaluating safety performance in a work environment is one of the most important steps in establishing an optimal safety condition in an organization. This study was designed and conducted with the aim of evaluating safety performance in a food industry.

This cross-sectional study was conducted in a large food industry in 2021. The sample size in this study was calculated using Cochran's formula with an accuracy of 0.05 equal to 231 people. The studied variables included two groups of reactive (safety training, risk assessment and control) and reactive (type of accidents, unsafe conditions and acts) performance indicators, as well as the final safety performance index. The numerical range of this index was 0.2 to 5.0.

The final safety performance index in this food industry was evaluated as 1.76. The results showed the amount of six groups of safety performance indicators in this industry respectively were estimated, risk assessment (4.01), risk control (3.93), safety training (3.85), type of accidents (2.47), unsafe acts and (2.17), unsafe conditions (2.05). In addition, among the 32 evaluated indicators, the lowest and highest indicators were related to unsafe equipment (0.13) and use of personal protective equipment (2.09), respectively.

The findings of the study indicated that although the level of safety performance in this food industry is not unfavorable, but in order to achieve a favorable safety performance index, practical and beneficial measures should be designed and implemented in line with the six groups of indicators and 32 indicators.