scholarly journals OCCUPATIONAL SAFETY RISK ANALYSIS OF ORGANIZED INDUSTRIAL ENTERPRISES IN NEVSEHIR PROVINCE OF TURKEY BY FINE-KINNEY METHOD

2020 ◽  
Vol 7 (7) ◽  
pp. 33-41
Author(s):  
M. Cüneyt Bagdatlı ◽  
Ahmet Mahmut KILIÇ
Keyword(s):  
Risk Factors ◽  
Risk Analysis ◽  
Occupational Safety ◽  
Preventive Measures ◽  
Health And Safety ◽  
Safety Risk ◽  
Emergency Situations ◽  
Industrial Enterprises ◽  
Electrical Components ◽  
Excessive Noise

This research has been carried out within the scope of the solutions proposed for the evaluation of occupational safety risk analysis in 10 selected enterprises by random sampling in Organized Industrial Zone of Nevşehir province, Turkey and elimination of risk factors towards the results obtained. In scope of the study, Fine – Kinney method were used as risk assessment methods in each of the food, metal processing, machining and plastic firms. At the end of the study, a total of 122 risk factors have been identified in the whole enterprises. Commonly risks arising from falling from heights, fire, exposure to chemicals, electrical components and ergonomic situation insufficiency have been identified. In addition, risks such as insufficient environmental hygiene, lack of ventilation, excessive noise, inadequate training for emergency situations and insufficient use of protective equipment were determined. The identified risks were put forward by different method approaches and it was concluded that the findings were similar in all methods. The regulations and principles to be applied in order to eliminate or minimize the identified risks were discussed and the dimensions of the preventive measures were exhibited. As a result, audits of organized industrial enterprises related to occupational health and safety need to be conducted more strictly. In addition, the measures should put into practice in order to define identified risks and the issue should be monitored by the experts.

Agricultural Health and Safety Measures by Fuzzy ahp and Prediction by Fuzzy Expert System

2020 ◽  
pp. 239-260
Author(s):  
Suchismita Satapathy ◽  
Debesh Mishra
Keyword(s):  
Risk Factors ◽  
Occupational Safety ◽  
Agricultural Sector ◽  
Fuzzy Ahp ◽  
Health And Safety ◽  
Weather Condition ◽  
Agricultural Workers ◽  
Safety Measures ◽  
Agricultural Business ◽  
Working Procedure

Farming is an ancient traditional business, but still it is not a profitable business sector due to risk factor attached to it. It is a high-risk business. Although profit is lucrative, loss rate is also high. Occupational safety is a big issue of discussion for agricultural workers. The methods of working in field in extreme climate (heat, rain) totally depends on environmental factors. Due to rain and droughts, the loss of profit impacts on economic condition and market. Extreme weather condition, heavy workload during their working procedure gives them early old age, bone and muscle problems. So to attain better efficiency of performance and to improve productivity of the worldwide farmers in the agricultural sector it is essential to minimize risk factors. Agricultural workers need sufficient precaution and safety measures at the time of field and machine work to minimize risk factors. Still risk is major discussion topic in agricultural business. So, an effort is taken to prioritize safety majors by fuzzy ahp, and prediction are done by fuzzy logic modelling.

scholarly journals MEVA - a new method of occupational health and safety risk assessment

2019 ◽  
Vol 290 ◽  
pp. 12008
Author(s):  
Doru-Costin Darabont ◽  
Eduard Smîdu ◽  
Alina Trifu ◽  
Vicențiu Ciocîrlea ◽  
Iulian Ivan ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Occupational Health ◽  
Deductive Reasoning ◽  
Health And Safety ◽  
Occupational Health And Safety ◽  
New Method ◽  
Risk Level ◽  
Simple Method ◽  
Safety Risk

The paper describes a new method of occupational health and safety risk assessment. This method, called MEVA, unlike the old ones, focuses more on reduce or eliminate subjective issues in determining the probability of manifestation of risk factors and is based on a deductive reasoning, with the help of which is studied the chain between two or more events. The novelty of the method consists in combining risk assessment techniques with evaluation of compliance with legal and other requirements, aiming to provide a more objective results of the risk assessment. In the MEVA method, the risk matrix is defined by 5 classes of severity and 5 probability classes, resulting in 5 levels of risk. After quantifying the risk factors, prevention measures are proposed for all the identified risk factors and each partial risk level is recalculated as a result of the proposed measures. The five levels of risk were grouped into three categories: acceptable, tolerable and unacceptable. The MEVA method is a simple method and it can be used for assessing various workplaces, with different characteristics of complexity, activity domain or occupational health and safety recordings.

A Perspective on Health and Safety Risk Analysis

1984 ◽  
Vol 30 (4) ◽  
pp. 452-463 ◽  
Author(s):  
Chauncey Starr ◽  
Chris Whipple
Keyword(s):  
Risk Analysis ◽  
Health And Safety ◽  
Safety Risk

scholarly journals Literature Review: Occupational Safety and Health Risk Factors of Healthcare Workers during COVID-19 Pandemic

2021 ◽  
Vol 10 (1) ◽  
pp. 144
Author(s):  
Prima Ardiansah Surya ◽  
Marsheila Harvy Mustikaningtyas ◽  
Sacharissa Zerlina Tsarwah Thirafi ◽  
Afika Danedea Pramitha ◽  
Laksita Taffara Mahdy ◽  
...  
Keyword(s):  
Risk Factors ◽  
Hand Hygiene ◽  
Traffic Control ◽  
Healthcare Workers ◽  
Occupational Safety ◽  
Health Workers ◽  
Health And Safety ◽  
Occupational Safety And Health ◽  
Risk Of Infection ◽  
Safety And Health

Introduction: The pandemic of COVID-19 has major effects, particularly on hospitals and health workers. At the beginning of March, more than 3,300 health workers have beencontracted with COVID-19 as reported by China's National Health Commission. Twenty percent of healthcare workers in Italy have also also infected and some died. To minimize the risk of transmission to health workers, knowledge of the risk factors that influence the transmission is needed. Thus, this study aims to determine risk factors related to occupational safety and health for healthcare workers during the COVID-19 pandemic. Methods: The literature was searched on Pubmed, Google Scholar, WHO, and the Ministry of Health instruments were implemented. 8 relevant studies were reviewed. Results: According to the analysis results of several studies, the use of PPE that is less consistent and not suitable with the risk of exposure will increase the risk of infection. The risk of infection is also increased by poor hand hygiene. According to the Kaplan-Meier curve, the working duration of ≥ 15 hours will increase the risk of infection. The risk of infection also exists for health workers who carry out risky procedures that generate airborne particles such as resuscitation, as well as environmental factors such as negative pressure rooms and traffic control bundling. Conclusion: Risk factors related to occupational health and safety during this COVID-19 pandemic for healthcare staff are: compliance with the use of PPE, hand hygiene, working hours duration, risky procedures, and environmental factors.Keywords: healthcare workers, occupational safety, COVID-19, personal protective equipment

scholarly journals Digital Twin-Based Safety Risk Coupling of Prefabricated Building Hoisting

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3583
Author(s):  
Zhansheng Liu ◽  
Xintong Meng ◽  
Zezhong Xing ◽  
Antong Jiang
Keyword(s):  
Risk Factors ◽  
Risk Analysis ◽  
Information Integration ◽  
Large Scale ◽  
Security Management ◽  
Information Modeling ◽  
Security Risk ◽  
Safety Risk ◽  
Digital Twin ◽  
Prefabricated Building

Safety management in hoisting is the key issue to determine the development of prefabricated building construction. However, the security management in the hoisting stage lacks a truly effective method of information physical fusion, and the safety risk analysis of hoisting does not consider the interaction of risk factors. In this paper, a hoisting safety risk management framework based on digital twin (DT) is presented. The digital twin hoisting safety risk coupling model is built. The proposed model integrates the Internet of Things (IoT), Building Information Modeling (BIM), and a security risk analysis method combining the Apriori algorithm and complex network. The real-time perception and virtual–real interaction of multi-source information in the hoisting process are realized, the association rules and coupling relationship among hoisting safety risk factors are mined, and the time-varying data information is visualized. Demonstration in the construction of a large-scale prefabricated building shows that with the proposed framework, it is possible to complete the information fusion between the hoisting site and the virtual model and realize the visual management. The correlative relationship among hoisting construction safety risk factors is analyzed, and the key control factors are found. Moreover, the efficiency of information integration and sharing is improved, the gap of coupling analysis of security risk factors is filled, and effective security management and decision-making are achieved with the proposed approach.

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