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- MakaleAçık Erişim2026Investigation of Noise Exposure Levels in Furniture Industry: The Impact of Enterprise Scale and Machine Operational States; [Istraživanje razina izloženosti buci u industriji namještaja: utjecaj veličine poduzeća i radnih stanja strojeva]
Öztürk, Erhan; Komut, Osman; Fidan, Muhammed Said
The furniture industry is characterized by the intensive use of cutting, shaping, and surface-treating machinery, which naturally generates high noise levels. This study aimed to assess noise exposure levels in furniture manufacturing facilities by examining the effects of enterprise scale, machine types, and working conditions (loaded and unloaded) on occupational health and safety (OHS). The study was conducted in a total of 30 enterprises, 10 at each enterprise scale level. Physical risk factor data for noise were recorded using on-site measurements for the machines and production lines used at each enterprise level, depending on various variables. ANOVA, T-test, and Correlation analyses were performed to determine the relationships between the variables. The results revealed that small-scale businesses were the riskiest group in terms of noise levels. Generally, although measured noise levels in workplaces remain below the highest exposure action value of 85 dB, critical levels have been detected under specific machinery and working conditions. In machine-based assessments, the critical machines exceeding the highest exposure value of 85 dB are: In small-scale businesses – planing machine (95.26 dB), circular saw (88.08 dB) and band saw (86.81 dB); in micro-scale businesses – CNC drilling machine (91.13 dB), CNC sizing machine (88.01 dB) and band saw (85.95 dB); and in medium-scale businesses – circular saw (85.24 dB). As a result of the study, it has been emphasized that long-term noise exposure poses a risk to employees’ hearing health and that preventive measures are therefore mandatory.
- MakaleAçık Erişim2017Developing web based decision support system for evaluation occupational risks at shipyards
Cebi, Selcuk; Akyuz, Emre; Sahin, Yasin
In this study, a web based decision support system (WBDSS) has been developed to provide decision aid for risk analysis on occupational health and safety at shipyards. The system has been constructed as a modular structure to make its application easy for all kind of firms. The WBDSS is rule based and its database includes safety measures and risks for each tool and machine used in shipbuilding process. In addition, probability and hazard values have been involved in the case of violated measures. The frequencies of the violations that occurred in the work environment are entered to the system by the user. Hence, the system provides a decision support about the risks related to facilities and the cautions to be taken in the workplace. The developed WBDSS has the capability of determining accident, almost accident, and threat formation factors at workplace according to the changing parameters. In this aspect, it enables one to constantly monitor, check and evaluate risk preventive measures. Then, the capabilities of the suggested decision support system have been tested with different scenarios for shipyard processes. When the developed WBDSS is applied to all workplaces, it is aimed at providing a decrease in the number of accidents which cause death, occupational illness, injury, and temporary incapability.