دو ماهنامه سلامت کار ایران
سال دوازدهم شماره 5 (آذر و دی 1394)

Air pollution is one of the most important factors in conflict with environmental quality in many cities around the world that can have negative effects on human health. Emission control from industrial and domestic sources in line with the objectives of sustainable development is an important and challenging problem. Decision making with regard to various indices of social، economic، and operational، is complicated. The aim of the present study are weighting، prioritization and selection of appropriate filtration technology with consideration of technical aspects، economic، high performance and low uncertainty. In this study a fuzzy TOPSIS method was used for weighting and ranking of air pollutant filtration technologies. Five research criteria were included: efficiency، cost، maintenance، design and size. This five criteria were considered for ranking of air pollutant filtration technologies related toNH3، PM، and VOCs. According to the results HEPA filters with coefficient of 0. 923 were identified as the most appropriate filtration technology for the particles in the petrochemical industry. Chemical absorption with coefficient of 867/0 for controlling particulate matter and plasma chemical technology with coefficient of 9586/0 for controlling VOCs were identified as the best technology. TOPSIS is one of the most reliable scientific and managerial methods of decision-making. In this study selecting the appropriate filtration technology for air pollutants including NH3، PPM، VOCs was addressed by using TOPSIS fuzzy method.

combined exposure to several threatening physical factors may impact on the performance negatively. With regard to the importance of the worker’s health and their optimum performance in addition to shortage of studies having dealt with the impacts of combined exposure on performance, this work was done with the purpose of studying the impacts of combined exposure to harmful and harmless levels of noise, heat and lighting. This study was interventional with Factorial design. Where 128 subjects with ages 24-18 years were Participated Among the students of Shiraz University of Medical Sciences In 8 groups of 16 men and women No history of any mental illness and physical and drug consumption and narcotics.Tools to evaluate cognitive function in this study was PASAT test. The test results attention and concentration indicated that with worsening combined conditions Mean score of attention and working memory are reduced that these differences were statistically significant(pvalue<0.05). Mean scores working memory and attention in different condition Compared with the group exposed to non-harmful levels, was lower, in all conditions except Exposure to weak lighting statistically significant difference was shown(pvalue<0.007). combined exposure to harmful levels of noise, heat and lighting have adverse effects on cognitive performance parameters (attention and working memory) and Adverse effects increases with worsening conditions and exposure to three factors sound, heat and light their harmful levels.

Emergency workers because of encounter with traumatic events are exposed to high stress. The aim of study was, the predicting mental health based on the combined role of work locus of control and job stress. In this study 160 members of Tehran Emergency workers were selected through cluster sampling method and fills the questionnaires of job stress questionnaire, work locus of control questionnaire and general health questionnaire. Statistical analysis of data was performed with Pearson correlation and regression analysis. The results showed there is negative significant relationship between job stress and mental health. In addition, there are significant positive and negative correlation relationships between internal and external locus of control and mental health respectively. Furthermore, stepwise multivariate regression analysis showed that the subscales of demands, colleagues, external locus of control, and supervisors have predicted mental health. According to the findings of the present study, mental health can be estimated on the basis of two effective factors of job stress and work locus of control.

Today with the progressing technology and the increasing use of machinery, due to the use of sophisticated and high risk technology, the hazards and potential accidents in machinery processes have increased and even they are feared. Therefore, the purpose of this study was to identify risk factors and influencing sub-factors on ranking of risk levels in the William-Fine model via combining with fuzzy DEMATEL technique, aiming to reduce or eliminate the risk in machining processes. This research is a kind of applied research which is conducted, evaluated and optimized in one of the high-risk industries. Necessary data to be used in the fuzzy DEMATEL technique are collected by the questionnaires, interviews with industrial expert. The mentioned model was then solved in MATLAB software. By solving the William-Fine model, the results show that the exposure and the probability factors are the most effective and the most influential parameters, respectively. For the exposure factor, the “lack of utilization of proper operational and transformational equipment” is the most influencing sub-factor, while the lack of proper operational procedure is the main sub-factor of the probability factor. Finally, the physical shape of the materials used in operating activities is the key sub-factor for the consequence factor. Resent study shows that in high risk machinery industries, the application of the William-Fine model combined with the fuzzy DEMATEL technique is an effective method to reduce or mitigate the risk levels, and consequently identify the corrective actions using cost control and optimal resource allocations.

Accident root causes analysis shows optimization of factors which affecting performance has an essential role in reducing of accidents. These factors are dynamic and complex and they may also be dependent. Therefore, a comprehensive analysis of the working environment is essential. The main objective of this study is to propose a framework to control of human performance influencing factors in a automotive industry in IRAN. The present study provided an early warning model that predicts the risk factors affecting human performance. Since behavioral factors that are causing errors are complex in structure, FANP method was used for modeling. Using the proposed model, the potential risk of workplace determined before it leads to accidents and based on the type and level of risk and risk control measures was determined. The model was tested on two major projects in the car manufacturing industry. The results show that the risk indexes in the first and second project are 0.391 and 0.197 respectively. Since the value of the index in the first project is greater than the amount authorized by the model so corrective action suggested in accordance with identified risk factors without stopping the system. The system can by predict and assess the performance influencing factors, act as an early warning system. As a result, this system will lead to improved performance and enhance safety.

Nawoday, the business environment is a strong stimulus for emergence of emotions and there are situations that can cause stress and dissatisfaction, reduced efficiency, leave or change jobs. The purpose of this study is to explain the effects of perceptions of organizational justice and its components on occupational stress among employees of a financial institution credit samen Mazandaran province. in this descriptive study, by a correlation method, 147 employees of financial institution branches credit samen province were selected by simple random sampling method. Data were collected using standard questionnaires about occupational stress and organizational justice, and were analyzed by SPSS and LISREL software and descriptive statistic, correlation and structural equation model. in this study, there were significant inverse relationships between organizational justice and job stress respectively (R= -0.635, and p=0.001). The results of structural equation modeling and path analysis showed that perceived organizational justice and job stress are good predictor variables. The latest study are showed that a perception of injustice in the work place may increases problems that related of healthy mine. Therefore were understanding that the intention to the justice and its indicators in organizations can bringing a good results for organizations.

Nowadays, the rapid growth of industries and production of various products has led to an increase in hazardous industrial solid waste. The aim of this study was to examine how to manage industrial solid waste in industrial zone of Shokuhiyeh in Qom province in 2013. This research was a descriptive, cross-sectional one. The data were gathered by first referring to industrial units and the completion of Iranian Environmental Organization Questionnaire and then analyzing the gathered data. This questionnaire included 24 items covering the quantity, quality, and management of industrial solid waste. In this study, 41 industrial units with a personnel of more than 50 were examined. The category of" chemical and metal industries" produced the highest solid waste and specific solid waste. The elements making up the produced solid waste were plastic (38%) and glass (27.5%), respectively. Among the storage methods, the temporary solid waste storage in baskets (36%) and open-doors method (32%) were the most common ones. 41% of industrial units disposed of solid waste monthly, 31.7% weekly, 24.4% daily and 2.4% in an inconsistent manner. 58% of produced solid waste was recycled, 35% was landfilled, 4.6% was burned up, and 2.4% was disposed of in an unknown manner. The results of this study showed that the collection and storage of industrial solid waste in the industrial zone of Shokuhiyeh is not done in a suitable manner. Moreover, no educational program has yet been done about the management of solid waste in most of the industries. Therefore, it seems indispensable to establish a suitable system of solid waste management in order to organize the conditions of industrial solid waste produced in this zone.

From the 70s onwards, safety engineering made significant progress in developing techniques and regulations relating to the fire. The first, this methods was considered after happening accidents to prevent similar accidents. But with the advancement of technology, the prediction and prevention of fire in complex industries such as power plant finds Important. This study is done to determine the risk of fire in the control room of a power plant and proposed effective strategies to fire prevention. In this study, based on fire risk assessment methods for engineers, computational package was prepared by EXCEL software. Next to the building and contents, residents and activities in the plant control room, risk assessment calculations were carried out separately. At the end based of FRAME pattern, proposed appropriate control measures. The results showed that the risk of fire for building and contents is 1.02, residents 20.6 and activity is 0.5. According to the acceptable level of risk in the method, only the risk of fire in activities within the acceptable range. The results showed that in case of fire, the expected damage to buildings is 10-20 percent. The fire risk for residents is required to take preventive measures to reduce the level of risk. The results showed that the FRAME method, in addition to risk assessment can determine the strengths and weaknesses of existing systems and will provide appropriate control measures to prevent fires in buildings built.

X-band microwave with 8-12.5 frequency range has various applications such as air control traffic, navy communication and etc. Uncontrolled exposure with microwave can lead to adverse effect on workers. Application of the shielding is superior control for prevention of microwave exposure.The aim of this study is production a new electromagnetic shielding for exposure control of X-band frequency by nano nickel oxide and epoxy resin.

Nanocomposites prepared by epoxy resin and nano nickel oxide (7wt %) with 2, 4 and 6 mm thicknesses. Nanoparticles characterized by XRD and FESEM. Shielding effectiveness measured with vector network analyzer.

The Average of shielding effectiveness for three thicknesses were 2.68, 5.09 and 5.35 dB respectively that were equivalent to 45.98, 69.01 and 70.87 attenuation percentage. Maximum attenuation (8.96 dB or 87.29 attenuation percentage) obtained by the nanocomposite with 6mm thickness at 8.51 GHz frequency. The Average of shielding effectiveness increased with increasing the thickness.

these nanocomposites could be used as appropriate shielding for exposure control of X-band frequency in workplace. Both Epoxy and nanocomposite with 6mm thicknesses are useful in specific frequency such as 8.52 and 8.51 GHz. However, According to economical and technical issues, nanocomposite with 4mm thickness is appropriate shield in this study. In according to required attenuation and economical benefit, attenuation matrix can be used for selecting the appropriate electromagnetic shield.

Health care is one of the areas with high risk. Nowadays, leader organizations in healthcare recognize the fact that the side effects and the failure of the system should be managed and controlled. In this context, one of the most important topics is human error. One of the issues related to health care is “Infection Control” which is much discussed in dentistry. This research was carried out in order to identify, prevent and reduce human errors in the field of personal protective equipment and hand washing in infection control. This study was conducted in a semi-private dental clinic in Tehran. Data collection was done through; Interviews with dentists who are specialists, reports and documentation of the clinic and the analyst’s observations in dentists’ duties which were related to the usage of personal protective equipment and hand washing in infection control. After data collection, data analysis was done by SHERPA technique and then control solutions were presented. 60.49% of the identified errors were action errors, 2.47% retrieval, 3.70% information communication, 9.87% selection and 23.45% were checking errors. The most percentage was for the action error and the lowest one was for retrieval error. The most important common errors which were found in this research are; not washing hands between each patient, touching devices that doesn’t have disposable cover, adjusting the mask with contaminated gloves during treatment, using glasses that can not protect eyes in all sides and not changing the mask in standard period of time. The identification of errors, the results of the risk assessment and provided solutions for controlling risks, represents that, SHERPA is an appropriate and implementable technique for the field of dentists’ infection control like other researches that have been done in the health care.