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- MakaleAçık Erişim2025Scopus SJRQ3Online software for a new risk assessment method in occupational health and safety: RSCAL
Ateş, Fatih Mehmet; Doğan, Ömer
Risk assessment is necessary for the safety of employees in the workplace. Risk assessment methods contain some deficiencies arising from the persons performing the analysis. In order to partially overcome this situation, a risk assessment method has been developed by the authors by utilizing the data on occupational accidents in Turkey. In the method, Occupational Health and Safety Professionals who will perform the risk assessment can calculate the risk score without giving a numerical value for any hazard and corresponding risk that they identify in the workplace. In the study, a user-friendly online software called RSCAL by the authors, with a web address of https://rscal.com.tr/, which can meet all the above-mentioned requirements and calculate risk scores for workplaces serving in all types of sectors, has been developed. Through this online application, the identified hazard, risk and exposures of the business to be analyzed can be selected; the necessary corrective and preventive actions can be written by the user and then the risk score can be calculated. After that, all hazards specific to the enterprise can be meticulously identified and the risk assessment of the enterprise can be made by calculating the risk scores. This risk assessment can also be printed out in excel file format. In the future, parameters such as the deadline for each hazard, the legal requirement or standard from which the corrective preventive action to be taken arises can be added to the RSCAL calculation tool.
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İncele - MakaleAçık Erişim2024Scopus SJRQ3Occupational Safety and Hidden Risks in a Furniture Factory: A Comprehensive Assessment of Hazards Related to Noise, Lighting, Thermal Comfort, and Dust Exposure
Özdemir, Mustafa; Albayrak, Sirer
This study assessed the occupational health and safety conditions in a furniture manufacturing facility, focusing on key environmental factors such as noise, lighting, thermal comfort, and dust exposure. Noise measurements recorded levels as high as 95.3 dB(A) during CNC machine operations, exceeding legal exposure limits of 87 dB(A), posing significant risks to workers’ hearing health. Lighting assessments showed levels ranging from 134 to 247 lux in production lines, which falls below the recommended threshold of 300 lux for adequate visibility. Thermal comfort was evaluated with temperature readings at 14.2 °C and relative humidity at 43%, revealing marginal comfort conditions that could reduce worker efficiency and satisfaction. Dust exposure measurements indicated respirable dust concentrations reaching 3.69 mg/m³ in the cutting department, which is close to the permissible exposure limit of 5 mg/m³, raising concerns about long-term respiratory health. These findings suggest several measures to improve workplace safety, including enhanced engineering controls, mandatory personal protective equipment (PPE), improved lighting systems, optimised thermal conditions, and advanced ventilation to reduce dust exposure. This comprehensive evaluation provides critical insights for improving furniture factories’ occupational health and safety practices.
AtıfScopus6WoS6OpenAlex3İncele - MakaleAçık Erişim2023Analysis of occupational health and safety risks in beekeeping with fmea method
Özdemir, Mustafa; Kökhan, Serhan
Contrary to popular belief, beekeeping, which dates back to prehistoric times and is one of the most important plant and animal production branches today, is not an innocent profession in terms of occupational health and safety. In this study, in order to determine the occupational health and safety risk factors in the beekeeping profession, Interviews with beekeepers were conducted in 10 apiaries operating in Bayburt, where especially wandering beekeeping is practiced. In light of the data obtained from the danger hunt applied by the occupational health and safety specialist, ergonomic, physical, biological, and chemical risks were revealed using the FMEA risk analysis method. The effect, probability, and detection values were found for each failure mode, and then Risk Priority Number values were calculated. As a result of the study, for the five basic stages of beekeeping, 15 processes, 39 failure modes, 72 potential effects, and 39 failure causes were determined. Failure modes with a Risk Priority Number value of 100 and above were evaluated as “situations where urgent action and axiom should be taken,” and preventive axioms were proposed for each relevant failure mode. The number of studies on the risk factors in the beekeeping profession is very limited in the literature. For this reason, it is predicted that this study will fill an important gap in the related field and make significant contributions to the literature.
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