Sound waves are one of the essential factors of daily life and work activities that can cause environmental pollution in the necessary contact between humans and the surrounding world. Noise pollution is reported to be amongst the leading causes of occupational diseases and the second leading cause of occupational injuries in the workplace. A variety of equipment, machines, and work processes are used in industry that are considered sources of disturbing noise. The aim of this study is to assess the noise exposure of workers in industrial environments using the Bowtie approach and Data Envelope Analysis (DEA). The motivation of the research is the multidimensional nature of the concept of noise exposure from the perspective of the exposure situation and the capability of DEA models to evaluate the efficiency of stations based on multiple inputs and outputs. This study uses a quantitative approach. The research method is descriptive cross-sectional. In this research, a case study was conducted to evaluate 10 stations of a company in the industrial area in the first half of 2023. The Bowtie approach was used to determine the correlation between noise exposure and its consequences. The collection of noise exposure measurement data enables the mathematical modeling of the BCC input based on the DEA approach using the EMS software, where the input of the model is the "equivalent sound level" and the output of the model is the "noise pollution situation". The results show the different efficiencies of the 10 stations investigated and the superiority of station 7 compared to the other stations. In the industrial area studied, 30% of the total measuring stations were located in the risk range. The average sound pressure level was estimated at 101.70 dB. It seems that companies can effectively improve the health of their employees in the workplace by directing their activities within the permissible range of noise exposure. The efficiency of measuring stations plays a constructive role in reducing exposure and improving the health of employees in the workplace. تفاصيل المقالة

The existence of a performance evaluation system is inevitable due to the dramatic changes in the business environment. The comprehensive performance evaluation attempts to identify institutional units' potential strength and role in influencing the organizations' performance. This study aims to analyze the performance evaluation according to seven dimensions of the Sink and Tuttle model using data envelopment analysis. The result of the seven dimensions of the Sync-Tuttle model is the creation of a comprehensive performance evaluation system in organizations, which leads to the improvement of organizational performance. The proposed model covers all essential performance indicators and takes steps with more generalizability and more realistic evaluation than other performance evaluation systems.In this research, the performance of eight organizational units of the NIPA Company has been evaluated. A total of seven variables of the Sink-Tuttle model are input, and the performance level of organizational units is the output of the proposed model. Coordination between strategies, organizational learning, and knowledge management is recommended to improve organizational performance. The overlap of the evaluation results in the sink and Tuttle model and the data envelopment analysis indicates the validity of the proposed model.Action in the inefficient units can be taken by implementing training, changing key people, developing a participatory system, establishing a performance evaluation system with appropriate criteria, and developing management based on purpose. The results of the proposed performance evaluation model can be used as the main part of formulating and implementing organizations' policies. تفاصيل المقالة