Showing 3 results for Amini
I. Alimohammadi , M. Amini,
Volume 3, Issue 2 (8-2013)
Abstract
Introduction: Following the presentation of Domino model by Heinrich in 1931 this idea was formed that human is the most important cause of accidents. According to Heinrich, unsafe behavior (88%), unsafe condition (10%) and unexpected factors (2%) are involved in accidents causation. Thus, the aim of this study was to investigates workers safety, culture and its influencing factors in detergent and cleaner company.
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Material and Method: In order to determine the level of safety culture in the understudy detergent producing company a questioner developed in 2010 was used. It was included dimensions of management commitment, training and information exchange, protective environment, inhibitory factors and priority to safety. After collecting the questionnaires, data were analyzed using SPSS version 17.
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Result: The mean age of the participants of 37.5 years old and the mean work experience 13.7 years. 52.3 % of workers had not experienced any accident during their working year. Moreover, mean (SD) score of safety culture was 180.51 (±35.216).
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Conclusion: The difference of safety culture score were statistically different among occupational groups and also between workers with and without accidents.
Reza Fazli, Adel Mazloumi, Hamed Salmanzadeh, Mohammad Pouri, Abdolsamad Ahmadvand, Mohsen Amini Sarab,
Volume 12, Issue 4 (12-2022)
Abstract
Introduction: Complex sociotechnical systems, such as automotive industry, require a proper macro-ergonomic approach to design and implement the work system at micro-ergonomic level. The purpose of this study was to develop and validate effective macroeconomic factors to improve productivity, health and safety of employees in the automotive industry based on Holden & Karsh model.
Material and Methods: At the first step, relevant documents were reviewed, and then experts were interviewed to identify macro-ergonomic factors. The identified factors were categorized into four groups based on Holden & Karsh’s model. In the follow-up phase of the study, then, the content validity of the factors was calculated using Delphi technique in the form of an expert panel. Finally, validity acceptance was assessed using mean content validity index, and agreement between experts was evaluated using modified kappa coefficient
Results: 28 main factors were identified and categorized into four subgroups, including personnel, unit /department, organization and environment factors. 19 main factors were selected as the effective macro-ergonomic factors to improve employee’s productivity, health, and safety. The content validity index and the modified kappa coefficient were calculated as 0.901 and 0.90, respectively.
Conclusion: Macro-ergonomic factors identified in this study can be considered to improve employee’s productivity, health, and safety in the automotive industry. These factors can be used as specific context-based criteria for an ergonomic evaluation in the automotive industry, or even be generalized to other industries, organizations and companies.
Akbar Ahmadi Asour, Mohammadreza Monazzam, Ebrahim Taban, Zahra Hashemi, Somayeh Amininasab,
Volume 13, Issue 3 (9-2023)
Abstract
Introduction: The aim of this study was to investigate the effect of particle size (mesh) on the sound absorption coefficient of the absorbers made from Arundo Donax reed and to determine the optimal mesh for sound absorption.
Material and Methods: After crushing the reed stems in 10, 30, 20, 16, and 40 mesh sizes, they were washed with 5% NaOH. To make the samples 3 and 10 cm in diameter, 10% PVA was used as a binder, and the impedance of the two-channel tube was used according to ISO 10534-2 standard to determine the absorption coefficient. 22 samples of meshes 16 and 20 were made to achieve the optimal mesh based on the optimized RSM method, and the SAA index was used to compare the samples and determine the optimal mesh.
Results: The highest absorption peak was related to meshes 16 and 20 at the frequency of 2500 Hz, which is 0.94 and 0.98 ,respectively. The effect of increasing the thickness and density on the absorption coefficient is evident. The results have shown the effect of increasing the thickness and density on the absorption coefficient in mesh 20 in such a way that by increasing the density from 150 to 250 and the thickness from 10 to 30 mm, the absorption coefficient has increased from 35 to 63.5%. The optimal sample was mesh 20 with a thickness of 30 and a density of 250 kg/m3, which had the highest average absorption (SAA=0.57). The greater distance between the real and imaginary parts of the impedance shows the reactivity of the sample. In mesh 16 this distance is greater, as a result, mesh 16 has more reactivity and correspondingly less absorption.
Conclusion: The role of particle mesh as one of the important and influencing parameters on absorption coefficient has been investigated in this study.
